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Thought and Knowledge

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This best-selling textbook, written by award-winning educator and past president of the American Psychological Association, Diane F. Halpern, applies theory and research from the learning sciences to teach students the thinking skills they need to succeed in today's world. This new edition retains features from earlier editions that have helped its readers become better thinkers. A rigorous academic grounding based in cognitive psychology is presented in a clear writing style with a humorous tone and supported by numerous practical examples and anecdotes.

Thought and Knowledge, Fifth Edition has been revised to help students meet the challenges of a global neighborhood and make meaningful conclusions from the overwhelming quantity of information now available at the click of a mouse. The skills learned with this text will help students learn more efficiently, research more productively, and present logical, informed arguments.

Thought and Knowledge, Fifth Edition is appropriate for use as a textbook in critical thinking courses offered in departments of psychology, philosophy, English, humanities, or as a supplement in any course where critical thinking is emphasized.

TABLE OF CONTENTS

Chapter 1 | 54  pages, thinking: an introduction, chapter 2 | 57  pages, thinking starts here: memory as the mediator of cognitive processes, chapter 3 | 62  pages, the relationship between thought and language, chapter 4 | 57  pages, reasoning: drawing deductively valid conclusions, chapter 5 | 60  pages, analyzing arguments, chapter 6 | 46  pages, thinking as hypothesis testing, chapter 7 | 60  pages, likelihood and uncertainty: understanding probabilities, chapter 8 | 54  pages, decision making: it is a matter of choice, chapter 9 | 59  pages, development of problem-solving skills, chapter 10 | 45  pages, creative thinking, chapter 11 | 8  pages, the last word.

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Definition of Critical Thinking:

Description:

Critical thinking refers to the intellectual process of analyzing, evaluating, and interpreting information and arguments in a systematic and objective manner. It involves the careful examination of facts, evidence, and reasoning to form rational and well-informed judgments.

Components:

Critical thinking includes several essential components:

• Analysis: The ability to break down complex information into its constituent parts and examine them systematically.
• Evaluation: The capacity to assess the credibility, accuracy, and reliability of information and arguments.
• Inference: The skill to draw logical and reasoned conclusions based on available evidence.
• Interpretation: The aptitude to comprehend and explain the meaning and significance of information and evidence.
• Explanation: The capability to clarify and justify one’s own thought processes and reasoning, explicitly stating the underlying assumptions and principles.
• Self-regulation: The discipline to monitor one’s own thinking, recognizing and challenging biases, prejudices, and assumptions.
• Open-mindedness: The willingness to consider alternative viewpoints, perspectives, and hypotheses without prejudice or preconceived notions.

Importance:

Critical thinking plays a vital role in various aspects of life, including education, personal and professional relationships, problem-solving, decision-making, and understanding complex issues. It enables individuals to think independently, make informed judgments, evaluate the reliability of information, and develop well-reasoned arguments.

Developing and applying critical thinking skills can lead to numerous benefits, such as:

• Improved problem-solving abilities and decision-making skills.
• Enhanced communication and argumentation skills.
• Strengthened comprehension and interpretation of information.
• Increased objectivity and rationality in thinking.
• Heightened creativity and innovation.
• Reduced vulnerability to manipulation and misinformation.
• Greater self-awareness and personal growth.

• Teaching Tips

A Brief Guide for Teaching and Assessing Critical Thinking in Psychology

In my first year of college teaching, a student approached me one day after class and politely asked, “What did you mean by the word ‘evidence’?” I tried to hide my shock at what I took to be a very naive question. Upon further reflection, however, I realized that this was actually a good question, for which the usual approaches to teaching psychology provided too few answers. During the next several years, I developed lessons and techniques to help psychology students learn how to evaluate the strengths and weaknesses of scientific and nonscientific kinds of evidence and to help them draw sound conclusions. It seemed to me that learning about the quality of evidence and drawing appropriate conclusions from scientific research were central to teaching critical thinking (CT) in psychology.

In this article, I have attempted to provide guidelines to psychol­ogy instructors on how to teach CT, describing techniques I devel­oped over 20 years of teaching. More importantly, the techniques and approach described below are ones that are supported by scientific research. Classroom examples illustrate the use of the guidelines and how assessment can be integrated into CT skill instruction.

Overview of the Guidelines

Confusion about the definition of CT has been a major obstacle to teaching and assessing it (Halonen, 1995; Williams, 1999). To deal with this problem, we have defined CT as reflective think­ing involved in the evaluation of evidence relevant to a claim so that a sound or good conclusion can be drawn from the evidence (Bensley, 1998). One virtue of this definition is it can be applied to many thinking tasks in psychology. The claims and conclusions psychological scientists make include hypotheses, theoretical state­ments, interpretation of research findings, or diagnoses of mental disorders. Evidence can be the results of an experiment, case study, naturalistic observation study, or psychological test. Less formally, evidence can be anecdotes, introspective reports, commonsense beliefs, or statements of authority. Evaluating evidence and drawing appropriate conclusions along with other skills, such as distin­guishing arguments from nonarguments and finding assumptions, are collectively called argument analysis skills. Many CT experts take argument analysis skills to be fundamental CT skills (e.g., Ennis, 1987; Halpern, 1998). Psychology students need argument analysis skills to evaluate psychological claims in their work and in everyday discourse.

Some instructors expect their students will improve CT skills like argument analysis skills by simply immersing them in challenging course work. Others expect improvement because they use a textbook with special CT questions or modules, give lectures that critically review the literature, or have students complete written assignments. While these and other traditional techniques may help, a growing body of research suggests they are not sufficient to efficiently produce measurable changes in CT skills. Our research on acquisition of argument analysis skills in psychology (Bensley, Crowe, Bernhardt, Buchner, & Allman, in press) and on critical reading skills (Bensley & Haynes, 1995; Spero & Bensley, 2009) suggests that more explicit, direct instruction of CT skills is necessary. These results concur with results of an earlier review of CT programs by Chance (1986) and a recent meta-analysis by Abrami et al., (2008).

Based on these and other findings, the following guidelines describe an approach to explicit instruction in which instructors can directly infuse CT skills and assessment into their courses. With infusion, instructors can use relevant content to teach CT rules and concepts along with the subject matter. Directly infus­ing CT skills into course work involves targeting specific CT skills, making CT rules, criteria, and methods explicit, providing guided practice in the form of exercises focused on assessing skills, and giving feedback on practice and assessments. These components are similar to ones found in effective, direct instruc­tion approaches (Walberg, 2006). They also resemble approaches to teaching CT proposed by Angelo (1995), Beyer (1997), and Halpern (1998). Importantly, this approach has been successful in teaching CT skills in psychology (e.g., Bensley, et al., in press; Bensley & Haynes, 1995; Nieto & Saiz, 2008; Penningroth, Despain, & Gray, 2007). Directly infusing CT skill instruction can also enrich content instruction without sacrificing learning of subject matter (Solon, 2003). The following seven guidelines, illustrated by CT lessons and assessments, explicate this process.

Seven Guidelines for Teaching and Assessing Critical Thinking

1. Motivate your students to think critically

Critical thinking takes effort. Without proper motivation, students are less inclined to engage in it. Therefore, it is good to arouse interest right away and foster commitment to improving CT throughout a course. One motivational strategy is to explain why CT is important to effective, professional behavior. Often, telling a compelling story that illustrates the consequences of failing to think critically can mo­tivate students. For example, the tragic death of 10-year-old Candace Newmaker at the hands of her therapists practicing attachment therapy illustrates the perils of using a therapy that has not been supported by good empirical evidence (Lilienfeld, 2007).

Instructors can also pique interest by taking a class poll posing an interesting question on which students are likely to have an opinion. For example, asking students how many think that the full moon can lead to increases in abnormal behavior can be used to introduce the difference between empirical fact and opinion or common sense belief. After asking students how psychologists answer such questions, instructors might go over the meta-analysis of Rotton and Kelly (1985). Their review found that almost all of the 37 studies they reviewed showed no association between the phase of the moon and abnormal behavior with only a few, usually poorly, controlled studies supporting it. Effect size over all stud­ies was very small (.01). Instructors can use this to illustrate how psychologists draw a conclusion based on the quality and quantity of research studies as opposed to what many people commonly believe. For other interesting thinking errors and misconceptions related to psychology, see Bensley (1998; 2002; 2008), Halpern (2003), Ruscio (2006), Stanovich (2007), and Sternberg (2007).

Attitudes and dispositions can also affect motivation to think critically. If students lack certain CT dispositions such as open-mindedness, fair-mindedness, and skepticism, they will be less likely to think critically even if they have CT skills (Halpern, 1998). Instructors might point out that even great scientists noted for their powers of reasoning sometimes fail to think critically when they are not disposed to use their skills. For example, Alfred Russel Wallace who used his considerable CT skills to help develop the concept of natural selection also believed in spiritualistic contact with the dead. Despite considerable evidence that mediums claiming to contact the dead were really faking such contact, Wallace continued to believe in it (Bensley, 2006). Likewise, the great American psychologist William James, whose reasoning skills helped him develop the seeds of important contemporary theories, believed in spiritualism despite evidence to the contrary.

2. Clearly state the CT goals and objectives for your class

Once students are motivated, the instructor should focus them on what skills they will work on during the course. The APA task force on learning goals and objectives for psychology listed CT as one of 10 major goals for students (Halonen et al., 2002). Under critical thinking they have further specified outcomes such as evaluating the quality of information, identifying and evaluating the source and credibility of information, recognizing and defending against think­ing errors and fallacies. Instructors should publish goals like these in their CT course objectives in their syllabi and more specifically as assignment objectives in their assignments. Given the pragmatic penchant of students for studying what is needed to succeed in a course, this should help motivate and focus them.

To make instruction efficient, course objectives and lesson ob­jectives should explicitly target CT skills to be improved. Objectives should specify the behavior that will change in a way that can be measured. A course objective might read, “After taking this course, you will be able to analyze arguments found in psychological and everyday discussions.” When the goal of a lesson is to practice and improve specific microskills that make up argument analysis, an assignment objective might read “After successfully completing this assignment, you will be able to identify different kinds of evidence in a psychological discussion.” Or another might read “After suc­cessfully completing this assignment, you will be able to distinguish arguments from nonarguments.” Students might demonstrate they have reached these objectives by showing the behavior of correctly labeling the kinds of evidence presented in a passage or by indicating whether an argument or merely a claim has been made. By stating objectives in the form of assessable behaviors, the instructor can test these as assessment hypotheses.

Sometimes when the goal is to teach students how to decide which CT skills are appropriate in a situation, the instructor may not want to identify specific skills. Instead, a lesson objective might read, “After successfully completing this assignment, you will be able to decide which skills and knowledge are appropriate for criti­cally analyzing a discussion in psychology.”

3. Find opportunities to infuse CT that fit content and skill requirements of your course

To improve their CT skills, students must be given opportunities to practice them. Different courses present different opportunities for infusion and practice. Stand-alone CT courses usually provide the most opportunities to infuse CT. For example, the Frostburg State University Psychology Department has a senior seminar called “Thinking like a Psychologist” in which students complete lessons giving them practice in argument analysis, critical reading, critically evaluating information on the Internet, distinguishing science from pseudoscience, applying their knowledge and CT skills in simula­tions of psychological practice, and other activities.

In more typical subject-oriented courses, instructors must find specific content and types of tasks conducive to explicit CT skill instruction. For example, research methods courses present several opportunities to teach argument analysis skills. Instructors can have students critically evaluate the quality of evidence provided by studies using different research methods and designs they find in PsycINFO and Internet sources. This, in turn, could help students write better critical evaluations of research for research reports.

A cognitive psychology teacher might assign a critical evalu­ation of the evidence on an interesting question discussed in text­book literature reviews. For example, students might evaluate the evidence relevant to the question of whether people have flashbulb memories such as accurately remembering the 9-11 attack. This provides the opportunity to teach them that many of the studies, although informative, are quasi-experimental and cannot show causation. Or, students might analyze the arguments in a TV pro­gram such as the fascinating Nova program Kidnapped by Aliens on people who recall having been abducted by aliens.

4. Use guided practice, explicitly modeling and scaffolding CT.

Guided practice involves modeling and supporting the practice of target skills, and providing feedback on progress towards skill attainment. Research has shown that guided practice helps student more efficiently acquire thinking skills than unguided and discovery approaches (Meyer, 2004).

Instructors can model the use of CT rules, criteria, and proce­dures for evaluating evidence and drawing conclusions in many ways. They could provide worked examples of problems, writing samples displaying good CT, or real-world examples of good and bad thinking found in the media. They might also think out loud as they evaluate arguments in class to model the process of thinking.

To help students learn to use complex rules in thinking, instruc­tors should initially scaffold student thinking. Scaffolding involves providing product guidelines, rules, and other frameworks to support the process of thinking. Table 1 shows guidelines like those found in Bensley (1998) describing nonscientific kinds of evidence that can support student efforts to evaluate evidence in everyday psychologi­cal discussions. Likewise, Table 2 provides guidelines like those found in Bensley (1998) and Wade and Tavris (2005) describing various kinds of scientific research methods and designs that differ in the quality of evidence they provide for psychological arguments.

In the cognitive lesson on flashbulb memory described earlier, students use the framework in Table 2 to evaluate the kinds of evidence in the literature review. Table 1 can help them evaluate the kinds of evidence found in the Nova video Kidnapped by Aliens . Specifically, they could use it to contrast scientific authority with less credible authority. The video includes statements by scientific authorities like Elizabeth Loftus based on her extensive research contrasted with the nonscientific authority of Bud Hopkins, an artist turned hypnotherapist and author of popular books on alien abduction. Loftus argues that the memories of alien abduction in the children interviewed by Hopkins were reconstructed around the suggestive interview questions he posed. Therefore, his conclu­sion that the children and other people in the video were recalling actual abduction experiences was based on anecdotes, unreliable self-reports, and other weak evidence.

Modeling, scaffolding, and guided practice are especially useful in helping students first acquire CT skills. After sufficient practice, however, instructors should fade these and have students do more challenging assignments without these supports to promote transfer.

5. Align assessment with practice of specific CT skills

Test questions and other assessments of performance should be similar to practice questions and problems in the skills targeted but differ in content. For example, we have developed a series of practice and quiz questions about the kinds of evidence found in Table 1 used in everyday situations but which differ in subject matter from practice to quiz. Likewise, other questions employ research evidence examples corresponding to Table 2. Questions ask students to identify kinds of evidence, evaluate the quality of the evidence, distinguish arguments from nonarguments, and find assumptions in the examples with practice examples differing in content from assessment items.

6. Provide feedback and encourage students to reflect on it

Instructors should focus feedback on the degree of attainment of CT skill objectives in the lesson or assessment. The purpose of feedback is to help students learn how to correct faulty thinking so that in the future they monitor their thinking and avoid such problems. This should increase their metacognition or awareness and control of their thinking, an important goal of CT instruction (Halpern, 1998).

Students must use their feedback for it to improve their CT skills. In the CT exercises and critical reading assignments, students receive feedback in the form of corrected responses and written feedback on open-ended questions. They should be advised that paying attention to feedback on earlier work and assessments should improve their performance on later assessments.

7. Reflect on feedback and assessment results to improve CT instruction

Instructors should use the feedback they provide to students and the results of ongoing assessments to ‘close the loop,’ that is, use these outcomes to address deficiencies in performance and improve instruction. In actual practice, teaching and assessment strategies rarely work optimally the first time. Instructors must be willing to tinker with these to make needed improvements. Reflec­tion on reliable and valid assessment results provides a scientific means to systematically improve instruction and assessment.

Instructors may find the direct infusion approach as summarized in the seven guidelines to be efficient, especially in helping students acquire basic CT skills, as research has shown. They may especially appreciate how it allows them to take a scientific approach to the improvement of instruction. Although the direct infusion approach seems to efficiently promote acquisition of CT skills, more research is needed to find out if students transfer their skills outside of the class­room or whether this approach needs adjustment to promote transfer.

Table 1. Strengths and Weaknesses of Nonscientific Sources and Kinds of Evidence

Table 2. Strengths and Weaknesses of Scientific Research Methods/Designs Used as Sources of Evidence

Abrami, P. C., Bernard, R. M., Borokhovhovski, E., Wade, A., Surkes, M. A., Tamim, R., et al., (2008). Instructional interventions affecting critical thinking skills and dispositions: A stage 1 meta-analysis. Review of Educational Research, 4 , 1102–1134.

Angelo, T. A. (1995). Classroom assessment for critical thinking. Teaching of Psychology , 22(1), 6–7.

Bensley, D.A. (1998). Critical thinking in psychology: A unified skills approach. Pacific Grove, CA: Brooks/Cole.

Bensley, D.A. (2002). Science and pseudoscience: A critical thinking primer. In M. Shermer (Ed.), The Skeptic encyclopedia of pseudoscience. (pp. 195–203). Santa Barbara, CA: ABC–CLIO.

Bensley, D.A. (2006). Why great thinkers sometimes fail to think critically. Skeptical Inquirer, 30, 47–52.

Bensley, D.A. (2008). Can you learn to think more like a psychologist? The Psychologist, 21, 128–129.

Bensley, D.A., Crowe, D., Bernhardt, P., Buckner, C., & Allman, A. (in press). Teaching and assessing critical thinking skills for argument analysis in psychology. Teaching of Psychology .

Bensley, D.A. & Haynes, C. (1995). The acquisition of general purpose strategic knowledge for argumentation. Teaching of Psychology, 22 , 41–45.

Beyer, B.K. (1997). Improving student thinking: A comprehensive approach . Boston: Allyn & Bacon.

Chance, P. (1986) Thinking in the classroom: A review of programs . New York: Instructors College Press.

Ennis, R.H. (1987). A taxonomy of critical thinking dispositions and abilities. In J. B. Baron & R. F. Sternberg (Eds.). Teaching thinking skills: Theory and practice (pp. 9–26). New York: Freeman.

Halonen, J.S. (1995). Demystifying critical thinking. Teaching of Psychology, 22 , 75–81.

Halonen, J.S., Appleby, D.C., Brewer, C.L., Buskist, W., Gillem, A. R., Halpern, D. F., et al. (APA Task Force on Undergraduate Major Competencies). (2002) Undergraduate psychology major learning goals and outcomes: A report. Washington, DC: American Psychological Association. Retrieved August 27, 2008, from http://www.apa.org/ed/pcue/reports.html .

Halpern, D.F. (1998). Teaching critical thinking for transfer across domains: Dispositions, skills, structure training, and metacognitive monitoring. American Psychologist , 53 , 449–455.

Halpern, D.F. (2003). Thought and knowledge: An introduction to critical thinking . (3rd ed.). Mahwah, NJ: Erlbaum.

Lilienfeld, S.O. (2007). Psychological treatments that cause harm. Perspectives on Psychological Science , 2 , 53–70.

Meyer, R.E. (2004). Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. American Psychologist , 59 , 14–19.

Nieto, A.M., & Saiz, C. (2008). Evaluation of Halpern’s “structural component” for improving critical thinking. The Spanish Journal of Psychology , 11 ( 1 ), 266–274.

Penningroth, S.L., Despain, L.H., & Gray, M.J. (2007). A course designed to improve psychological critical thinking. Teaching of Psychology , 34 , 153–157.

Rotton, J., & Kelly, I. (1985). Much ado about the full moon: A meta-analysis of lunar-lunacy research. Psychological Bulletin , 97 , 286–306.

Ruscio, J. (2006). Critical thinking in psychology: Separating sense from nonsense. Belmont, CA: Wadsworth.

Solon, T. (2007). Generic critical thinking infusion and course content learning in introductory psychology. Journal of Instructional Psychology , 34(2), 972–987.

Stanovich, K.E. (2007). How to think straight about psychology . (8th ed.). Boston: Pearson.

Sternberg, R.J. (2007). Critical thinking in psychology: It really is critical. In R. J. Sternberg, H. L. Roediger, & D. F. Halpern (Eds.), Critical thinking in psychology. (pp. 289–296) . Cambridge, UK: Cambridge University Press.

Wade, C., & Tavris, C. (2005) Invitation to psychology. (3rd ed.). Upper Saddle River, NJ: Prentice Hall.

Walberg, H.J. (2006). Improving educational productivity: A review of extant research. In R. F. Subotnik & H. J. Walberg (Eds.), The scientific basis of educational productivity (pp. 103–159). Greenwich, CT: Information Age.

Williams, R.L. (1999). Operational definitions and assessment of higher-order cognitive constructs. Educational Psychology Review , 11 , 411–427.

Excellent article.

Interesting and helpful!

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About the Author

D. Alan Bensley is Professor of Psychology at Frostburg State University. He received his Master’s and PhD degrees in cognitive psychology from Rutgers University. His main teaching and research interests concern the improvement of critical thinking and other cognitive skills. He coordinates assessment for his department and is developing a battery of instruments to assess critical thinking in psychology. He can be reached by email at [email protected] Association for Psychological Science December 2010 — Vol. 23, No. 10

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Diane F. Halpern, Ph.D.

Dean of social science at the minvera schools at keck graduate insitute, emerita mcelwee family professor of psychology at claremont mckenna college, emerita, thought and knowledge: an introduction to critical thinking.

Link to Purchase on Amazon.com Publisher Information Companion Site

This best-selling textbook, written by award-winning educator and past president of the APA, Diane Halpern, applies theory and research from the learning sciences to teach students the thinking skills they need to succeed in today's world. This new edition retains features from earlier editions that have helped its readers become better thinkers. A rigorous academic grounding based in cognitive psychology is presented in a clear writing style with a humorous tone and supported by numerous practical examples and anecdotes.

Thought & Knowledge, Fifth Edition has been revised to help students meet the challenges of a global neighborhood and make meaningful conclusions form the overwhelming quantity of information now available at the click of a mouse. The skills learned with this text will help students learn more efficiently, research more productively, and present logical, informed arguments.

Reviews for

Thought and Knowledge: An Introduction to Critical Thinking (5th Ed.)

Review from PsycCRITIQUES:

"Being able to come up with creative solutions to problems is recognized as a fundamental 21st century skill—sometimes discussed under the rubric of creativity, innovation, problem solving, critical thinking, reasoning, argumentation, or decision making (National Research Council, 2012). Today’s business learners and educators agree that helping students learn to be effective problem solvers is a primary goal of education, as reflected in current curriculum reform efforts such as the Common Core Standards in the United States (Porter, McMaken, Hwang, & Yang, 2011). Thought and Knowledge: An Introduction to Critical Thinking by Diane F. Halpern offers a timely and compelling overview of what psychology has to contribute to this 21st century goal of improving students’ ability to think.

The search for ways to improve how people think has a long history in psychology (Mayer, 1992), but recent advances in the research base have enabled psychologists to propose evidence-based strategies for applying cognitive science to education (Dunlosky, Rawson, Marsh, Nathan, & Willingham, 2013; Halpern, Graesser & Hakel, 2007; Mayer, 2011; Pashler et al., 2008). Halpern’s book builds on these recent advances in applied cognitive psychology while also linking key concepts to their historical roots.

Halpern’s book, now in fifth edition, is even more contemporary today than it was 30 years ago when the first edition appeared at a time when books were handwritten or typed on typewriters and the tools of scholarship did not rely on the Internet. Halpern notes in the preface that “despite all the changes in technology in the last 30 years…the need to think critically has not changed” and “one might argue that it is even more important now that everyone has easy access to more information than they can possibly use and much of that information is biased” (p. xv). Like a polished stone, the fifth edition refines the essential elements that made the previous editions successful, while incorporating much up-to-date material published within the past decade.

The book provides a comprehensive introduction to how thinking works and how to improve how we think—including chapters on critical thinking, memory, language, reasoning, analyzing arguments, hypothesis testing, understanding probabilities, decision making, problem solving, and creativity. The book broadly surveys the key concepts and research findings in the upper half of cognitive psychology dealing with higher cognitive processes, while maintaining a consistent focus on applying cognitive psychology.

I particularly enjoyed the chapter on “Analyzing Arguments,” which provides a step-by-step guide to creating and evaluating arguments. In the chapter we learn how to diagram the structure of an argument, including premises, conclusions, assumptions, qualifiers, and counterarguments. Halpern teaches us to search for missing components that can affect the soundness of an argument, and alerts us to 21 common fallacies. Yet, the chapter also reminds us of the need for psychological research to help test some of the chapter’s suggestions and implications.

Halpern writes in a friendly and personal style that communicates directly with you as the reader, and she keeps you engaged by providing concrete and practical examples. For example, in the reasoning chapter she helps you analyze the logic behind bumper stickers such as, “Off-road users are not abusers” or “If guns are outlawed, only outlaws will have guns.”

As a past President of the American Psychological Association and an award winning researcher and teacher, Diane Halpern certainly has the credentials to write Thought and Knowledge: An Introduction to Critical Thinking. She is not only a master researcher and scholar who has contributed to the field of applied cognitive psychology, she is a master teacher who knows how to take scientific material and make it understandable, personally relevant, and enjoyable. It is a treat to read a book on thinking by an undisputed leader in the field, who has been thinking about thinking and refining this book for three decades.

As with any psychology book, choices had to be made about the level of detail in describing research studies. In the interests of providing broad coverage and bottom-line conclusions, the book generally does not offer much detail about the specific methods and results of individual research studies or systematic literature reviews, instead offering general summaries such as, “the jury is still out on the effectiveness of problem-based learning” (p. 454) or “recent reviews found that drawing concept maps is a more effective method for facilitating recall than creating lists or outlines” (p. 156). If you are interested in applying your thinking skills to critiquing the methodological or theoretical soundness of specific research studies or research literatures, this book may not provide sufficient depth.

In short, it is clear that Diane Halpern has made a significant contribution to the field of applied cognitive psychology with the fifth edition of Thought and Knowledge: An Introduction to Critical Thinking. Overall, you will find an enjoyable, comprehensive, and current introduction to the field of human thinking, with topics ranging from how to analyze the soundness of an argument to how to think with probabilities, and from how to come up with a creative solution to how to avoid pitfalls in decision making. If you are interested in what psychology has to say about how thinking works and how to improve your thinking, then Thought and Knowledge: An Introduction to Critical Thinking belongs on your bookshelf." — Richard E. Mayer, Department of Psychological and Brain Sciences, University of California, Santa Barbara

“Lots of terrific psychology, introduced clearly and attractively. Undergraduate students will enjoy reading this. I learned a lot.” — Michael Bishop, Professor of Philosophy and Director of Undergraduate Studies, Florida State University

“The level of sophistication about the psychology of reasoning, decision making, risk, etc. is much higher than standard critical thinking texts - as one would expect given the author's credentials.” — Frank Fair, Professor of Psychology and Philosophy, Sam Houston State University, and Managing Editor of Inquiry: Critical Thinking Across the Disciplines

“I continue to be impressed by the breadth of depth of the scholarship presented herein, especially the rich examples and everyday experiences of the author that illustrate her points about critical thinking.” — Dana S. Dunn, Professor of Psychology, Moravian College, and former President of the Society for the Teaching of Psychology

“Diane Halpern has a nice, friendly style and a gift for vivid examples. What her text does really well is marshal the 'factual' material in a way I haven't seen before, and in a way that will engage readers.” — Ken Manktelow, Professor of Psychology, University of Wolverhampton

“. . . remarkably inclusive in its coverage of both modern research findings and the repertoire of approaches to the teaching of reasoning, problem solving, creativity, and decision making. . .The intellectually curious student will find paths of exploration opened by this book, instead of being constrained to someone’s nearly packaged, spuriously confident definitions of good thinking process.” --- Contemporary Psychology

"Diane Halpern's thinking about thinking emerges as a one-of-a-kind multifaceted gem, sparkling in its substance, style, and sensibility. It is just what the doctor ordered for anyone seeking to develop skills in quantitative reasoning, evidence-based argumentation, or simply 'good' thinking. And, despite the formidable challenges presented by such topics, the book triumphs in the 'fireside companion' domain--a sheer delight to read!" —Joel R. Levin, University of Wisconsin

“…Accurate and thorough update about information on critical thinking. …Gives students practical suggestions on how to read and review chapters in textbooks.” It is a recommended text! --- Professions Education Research Quarterly Review.

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In This Article Expand or collapse the "in this article" section Critical Thinking

Introduction, general overviews.

• Importance of Thinking Critically
• Defining Critical Thinking
• General Skills
• Specific Skills
• Metacognitive Monitoring Skills
• Critical Thinking Dispositions
• Teaching Specific Skills
• Encouraging a Disposition toward Thinking Critically
• Transfer to Other Domains
• Metacognitive Monitoring
• General or Comprehensive Assessments
• Metacognition Assessments
• Critical Thinking Disposition Assessments
• Thinking Critically about Critical Thinking

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Critical Thinking by Heather Butler , Diane Halpern LAST REVIEWED: 29 November 2011 LAST MODIFIED: 29 November 2011 DOI: 10.1093/obo/9780199828340-0019

Critical thinking has been described in many ways, but researchers generally agree that critical thinking involves rational, purposeful, and goal-directed thinking (see Defining Critical Thinking ). Diane F. Halpern defined critical thinking as an attempt to increase the probability of a desired outcome (e.g., making a sound decision, successfully solving a problem) by using certain cognitive skills and strategies. Critical thinking is more than just a collection of skills and strategies: it is a disposition toward engaging with problems. Critical thinkers are flexible, open-minded, persistent, and willing to exert mental energy working on tough problems. Unlike poor thinkers, critical thinkers are willing to admit they have made an error in judgment if confronted with contradictory evidence, and they operate on autopilot much less than poor thinkers (see Critical Thinking Dispositions ). There is good evidence that critical thinking skills and dispositions can be taught (see Teaching Critical Thinking ). This guide includes (a) sources that extol the importance of critical thinking, (b) research that identifies specific critical thinking skills and conceptualizations of critical thinking dispositions, (c) a list of the best practices for teaching critical thinking skills and dispositions, and (d) a review of research into ways of assessing critical thinking skills and dispositions (see Assessments ).

The sources highlighted here include textbooks, literature reviews, and meta-analyses related to critical thinking. These contributions come from both psychological ( Halpern 2003 ; Nisbett 1993 ; Sternberg, et al. 2007 ) and philosophical ( Ennis 1962 , Facione 1990 ) perspectives. Many of these general overviews are textbooks ( Facione 2011b ; Halpern 2003 ; Nisbett 1993 ; Sternberg, et al. 2007 ), while the other sources are review articles or commentaries. Most resources were intended for a general audience, but Sternberg, et al. 2007 was written specifically to address critical thinking in psychology. Those interested in a historical reference are referred to Ennis 1962 , which is credited by some as renewing contemporary interest in critical thinking. Those interested in a more recent conceptualization of critical thinking are referred to Facione 2011a , which is a short introduction to the field of critical thinking that would be appropriate for those new to the field, or Facione 1990 , which summarizes a collaborative definition of critical thinking among philosophers using the Delphi method. Facione 2011b would be a valuable resource for philosophers teaching critical thinking or logic courses to general audiences. For psychologists teaching critical thinking courses to a general audience, Halpern 2003 , an empirically based textbook, covers a wide range of topics; a new edition is expected soon. Fisher 2001 is also intended for general audiences and teaches a wide variety of critical thinking skills. Nisbett 1993 tackles the question of whether critical thinking skills can be taught and provides ample empirical evidence to that end. Sternberg, et al. 2007 is a good resource for psychology students interested in learning how to improve their scientific reasoning skills, a specific set of thinking skills needed by psychology and other science students.

Ennis, Robert H. 1962. A concept of critical thinking: A proposed basis of research in the teaching and evaluation of critical thinking. Harvard Educational Review 32:81–111.

A discussion of how critical thinking is conceptualized from a philosopher’s perspective. Critical of psychology’s definition of critical thinking at the time. Emphasizes twelve aspects of critical thinking.

Facione, Peter A. 1990. Critical thinking: A statement of expert consensus for purposes of educational assessment and instruction; Executive Summary of The Delphi Report . Millbrae, CA: California Academic Press.

Describes the critical thinking movement, definitions of critical thinking agreed upon by philosophers using the Delphi method, the assessment of critical thinking, and how critical thinking can be taught.

Facione, Peter A. 2011a. Critical thinking: What it is and why it counts . Millbrae, CA: Insight Assessment.

This accessible paper defines critical thinking, elaborates on specific critical thinking skills, and discusses what it means to have (or not have) a critical thinking disposition. A distinction is made between system 1 (shallow processing) and system 2 (deeper processing) thinking. Good resource for students new to the field.

Facione, Peter A. 2011b. THINK critically . Upper Saddle River, NJ: Prentice Hall.

Written from a philosophical perspective this critical thinking textbook emphasizes the application of critical thinking to the real world and offers positive examples of critical thinking. Chapters cover inductive, deductive, comparative, ideological, and empirical reasoning

Fisher, Alec. 2001. Critical thinking: An introduction . Cambridge, UK: Cambridge Univ. Press.

Textbook intended for college students discusses various types of reasoning, causality, argument analysis, and decision making. Includes exercises for students and teachers.

Halpern, Diane F. 2003. Thought & knowledge: An introduction to critical thinking . 4th ed. Mahwah, NJ: Lawrence Erlbaum.

This textbook, written by a cognitive psychologist, is grounded in theory and research from the learning sciences and offers practical examples. Chapters include an introduction to the topic and the correlates of critical thinking, memory, thought and language, reasoning, analyzing arguments, thinking as hypothesis testing, likelihood and uncertainty, decision making, development of problem-solving skills, and creative thinking.

Nisbett, Richard E. 1993. Rules for reasoning . Hillsdale, NJ: Lawrence Erlbaum.

This text is rich with empirical evidence that critical thinking skills can be taught to undergraduate and graduate students. Each chapter discusses research on an aspect of reasoning (e.g., statistical reasoning, heuristics, inductive reasoning) with special emphasis on teaching the application of these skills to everyday problems.

Sternberg, Robert J., Henry L. Roediger III, and Diane F. Halpern, eds. 2007. Critical thinking in psychology . New York: Cambridge Univ. Press.

This edited book explores several aspects of critical thinking that are needed to fully understand key topics in psychology such as experiment research, statistical inference, case studies, logical fallacies, and ethical judgments. Experts discuss the critical thinking strategies they engage in. Interesting discussion of historical breakthroughs due to critical thinking.

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Critical Thinking Questions

• Describe an event schema that you would notice at a sporting event.
• Explain why event schemata have so much power over human behavior.
• How do words not only represent our thoughts but also represent our values?
• How could grammatical errors actually be indicative of language acquisition in children?
• How could a specific learning disability, such as dysgraphia or dyslexia, impact a child’s educational and school experience?
• What is functional fixedness and how can overcoming it help you solve problems?
• How does an algorithm save you time and energy when solving a problem?
• Describe a situation in which you would need to use practical intelligence.
• Describe a situation in which cultural intelligence would help you communicate better.
• Why do you think different theorists have defined intelligence in different ways?
• Compare and contrast the benefits of the Stanford-Binet IQ test and Wechsler’s IQ tests.
• What evidence exists for a genetic component to an individual’s IQ?
• Describe the relationship between learning disabilities and intellectual disabilities to intelligence.

Introduction to Psychology Copyright © by Utah Tech University Psychology Department is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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7 Module 7: Thinking, Reasoning, and Problem-Solving

This module is about how a solid working knowledge of psychological principles can help you to think more effectively, so you can succeed in school and life. You might be inclined to believe that—because you have been thinking for as long as you can remember, because you are able to figure out the solution to many problems, because you feel capable of using logic to argue a point, because you can evaluate whether the things you read and hear make sense—you do not need any special training in thinking. But this, of course, is one of the key barriers to helping people think better. If you do not believe that there is anything wrong, why try to fix it?

The human brain is indeed a remarkable thinking machine, capable of amazing, complex, creative, logical thoughts. Why, then, are we telling you that you need to learn how to think? Mainly because one major lesson from cognitive psychology is that these capabilities of the human brain are relatively infrequently realized. Many psychologists believe that people are essentially “cognitive misers.” It is not that we are lazy, but that we have a tendency to expend the least amount of mental effort necessary. Although you may not realize it, it actually takes a great deal of energy to think. Careful, deliberative reasoning and critical thinking are very difficult. Because we seem to be successful without going to the trouble of using these skills well, it feels unnecessary to develop them. As you shall see, however, there are many pitfalls in the cognitive processes described in this module. When people do not devote extra effort to learning and improving reasoning, problem solving, and critical thinking skills, they make many errors.

As is true for memory, if you develop the cognitive skills presented in this module, you will be more successful in school. It is important that you realize, however, that these skills will help you far beyond school, even more so than a good memory will. Although it is somewhat useful to have a good memory, ten years from now no potential employer will care how many questions you got right on multiple choice exams during college. All of them will, however, recognize whether you are a logical, analytical, critical thinker. With these thinking skills, you will be an effective, persuasive communicator and an excellent problem solver.

The module begins by describing different kinds of thought and knowledge, especially conceptual knowledge and critical thinking. An understanding of these differences will be valuable as you progress through school and encounter different assignments that require you to tap into different kinds of knowledge. The second section covers deductive and inductive reasoning, which are processes we use to construct and evaluate strong arguments. They are essential skills to have whenever you are trying to persuade someone (including yourself) of some point, or to respond to someone’s efforts to persuade you. The module ends with a section about problem solving. A solid understanding of the key processes involved in problem solving will help you to handle many daily challenges.

7.1. Different kinds of thought

7.2. Reasoning and Judgment

7.3. Problem Solving

READING WITH PURPOSE

Remember and understand.

By reading and studying Module 7, you should be able to remember and describe:

• Concepts and inferences (7.1)
• Procedural knowledge (7.1)
• Metacognition (7.1)
• Characteristics of critical thinking:  skepticism; identify biases, distortions, omissions, and assumptions; reasoning and problem solving skills  (7.1)
• Reasoning:  deductive reasoning, deductively valid argument, inductive reasoning, inductively strong argument, availability heuristic, representativeness heuristic  (7.2)
• Fixation:  functional fixedness, mental set  (7.3)
• Algorithms, heuristics, and the role of confirmation bias (7.3)
• Effective problem solving sequence (7.3)

By reading and thinking about how the concepts in Module 6 apply to real life, you should be able to:

• Identify which type of knowledge a piece of information is (7.1)
• Recognize examples of deductive and inductive reasoning (7.2)
• Recognize judgments that have probably been influenced by the availability heuristic (7.2)
• Recognize examples of problem solving heuristics and algorithms (7.3)

Analyze, Evaluate, and Create

By reading and thinking about Module 6, participating in classroom activities, and completing out-of-class assignments, you should be able to:

• Use the principles of critical thinking to evaluate information (7.1)
• Explain whether examples of reasoning arguments are deductively valid or inductively strong (7.2)
• Outline how you could try to solve a problem from your life using the effective problem solving sequence (7.3)

7.1. Different kinds of thought and knowledge

• Take a few minutes to write down everything that you know about dogs.
• Do you believe that:
• Psychic ability exists?
• Hypnosis is an altered state of consciousness?
• Magnet therapy is effective for relieving pain?
• Aerobic exercise is an effective treatment for depression?
• UFO’s from outer space have visited earth?

On what do you base your belief or disbelief for the questions above?

Of course, we all know what is meant by the words  think  and  knowledge . You probably also realize that they are not unitary concepts; there are different kinds of thought and knowledge. In this section, let us look at some of these differences. If you are familiar with these different kinds of thought and pay attention to them in your classes, it will help you to focus on the right goals, learn more effectively, and succeed in school. Different assignments and requirements in school call on you to use different kinds of knowledge or thought, so it will be very helpful for you to learn to recognize them (Anderson, et al. 2001).

Factual and conceptual knowledge

Module 5 introduced the idea of declarative memory, which is composed of facts and episodes. If you have ever played a trivia game or watched Jeopardy on TV, you realize that the human brain is able to hold an extraordinary number of facts. Likewise, you realize that each of us has an enormous store of episodes, essentially facts about events that happened in our own lives. It may be difficult to keep that in mind when we are struggling to retrieve one of those facts while taking an exam, however. Part of the problem is that, in contradiction to the advice from Module 5, many students continue to try to memorize course material as a series of unrelated facts (picture a history student simply trying to memorize history as a set of unrelated dates without any coherent story tying them together). Facts in the real world are not random and unorganized, however. It is the way that they are organized that constitutes a second key kind of knowledge, conceptual.

Concepts are nothing more than our mental representations of categories of things in the world. For example, think about dogs. When you do this, you might remember specific facts about dogs, such as they have fur and they bark. You may also recall dogs that you have encountered and picture them in your mind. All of this information (and more) makes up your concept of dog. You can have concepts of simple categories (e.g., triangle), complex categories (e.g., small dogs that sleep all day, eat out of the garbage, and bark at leaves), kinds of people (e.g., psychology professors), events (e.g., birthday parties), and abstract ideas (e.g., justice). Gregory Murphy (2002) refers to concepts as the “glue that holds our mental life together” (p. 1). Very simply, summarizing the world by using concepts is one of the most important cognitive tasks that we do. Our conceptual knowledge  is  our knowledge about the world. Individual concepts are related to each other to form a rich interconnected network of knowledge. For example, think about how the following concepts might be related to each other: dog, pet, play, Frisbee, chew toy, shoe. Or, of more obvious use to you now, how these concepts are related: working memory, long-term memory, declarative memory, procedural memory, and rehearsal? Because our minds have a natural tendency to organize information conceptually, when students try to remember course material as isolated facts, they are working against their strengths.

One last important point about concepts is that they allow you to instantly know a great deal of information about something. For example, if someone hands you a small red object and says, “here is an apple,” they do not have to tell you, “it is something you can eat.” You already know that you can eat it because it is true by virtue of the fact that the object is an apple; this is called drawing an  inference , assuming that something is true on the basis of your previous knowledge (for example, of category membership or of how the world works) or logical reasoning.

Procedural knowledge

Physical skills, such as tying your shoes, doing a cartwheel, and driving a car (or doing all three at the same time, but don’t try this at home) are certainly a kind of knowledge. They are procedural knowledge, the same idea as procedural memory that you saw in Module 5. Mental skills, such as reading, debating, and planning a psychology experiment, are procedural knowledge, as well. In short, procedural knowledge is the knowledge how to do something (Cohen & Eichenbaum, 1993).

Metacognitive knowledge

Floyd used to think that he had a great memory. Now, he has a better memory. Why? Because he finally realized that his memory was not as great as he once thought it was. Because Floyd eventually learned that he often forgets where he put things, he finally developed the habit of putting things in the same place. (Unfortunately, he did not learn this lesson before losing at least 5 watches and a wedding ring.) Because he finally realized that he often forgets to do things, he finally started using the To Do list app on his phone. And so on. Floyd’s insights about the real limitations of his memory have allowed him to remember things that he used to forget.

All of us have knowledge about the way our own minds work. You may know that you have a good memory for people’s names and a poor memory for math formulas. Someone else might realize that they have difficulty remembering to do things, like stopping at the store on the way home. Others still know that they tend to overlook details. This knowledge about our own thinking is actually quite important; it is called metacognitive knowledge, or  metacognition . Like other kinds of thinking skills, it is subject to error. For example, in unpublished research, one of the authors surveyed about 120 General Psychology students on the first day of the term. Among other questions, the students were asked them to predict their grade in the class and report their current Grade Point Average. Two-thirds of the students predicted that their grade in the course would be higher than their GPA. (The reality is that at our college, students tend to earn lower grades in psychology than their overall GPA.) Another example: Students routinely report that they thought they had done well on an exam, only to discover, to their dismay, that they were wrong (more on that important problem in a moment). Both errors reveal a breakdown in metacognition.

The Dunning-Kruger Effect

In general, most college students probably do not study enough. For example, using data from the National Survey of Student Engagement, Fosnacht, McCormack, and Lerma (2018) reported that first-year students at 4-year colleges in the U.S. averaged less than 14 hours per week preparing for classes. The typical suggestion is that you should spend two hours outside of class for every hour in class, or 24 – 30 hours per week for a full-time student. Clearly, students in general are nowhere near that recommended mark. Many observers, including some faculty, believe that this shortfall is a result of students being too busy or lazy. Now, it may be true that many students are too busy, with work and family obligations, for example. Others, are not particularly motivated in school, and therefore might correctly be labeled lazy. A third possible explanation, however, is that some students might not think they need to spend this much time. And this is a matter of metacognition. Consider the scenario that we mentioned above, students thinking they had done well on an exam only to discover that they did not. Justin Kruger and David Dunning examined scenarios very much like this in 1999. Kruger and Dunning gave research participants tests measuring humor, logic, and grammar. Then, they asked the participants to assess their own abilities and test performance in these areas. They found that participants in general tended to overestimate their abilities, already a problem with metacognition. Importantly, the participants who scored the lowest overestimated their abilities the most. Specifically, students who scored in the bottom quarter (averaging in the 12th percentile) thought they had scored in the 62nd percentile. This has become known as the  Dunning-Kruger effect . Many individual faculty members have replicated these results with their own student on their course exams, including the authors of this book. Think about it. Some students who just took an exam and performed poorly believe that they did well before seeing their score. It seems very likely that these are the very same students who stopped studying the night before because they thought they were “done.” Quite simply, it is not just that they did not know the material. They did not know that they did not know the material. That is poor metacognition.

In order to develop good metacognitive skills, you should continually monitor your thinking and seek frequent feedback on the accuracy of your thinking (Medina, Castleberry, & Persky 2017). For example, in classes get in the habit of predicting your exam grades. As soon as possible after taking an exam, try to find out which questions you missed and try to figure out why. If you do this soon enough, you may be able to recall the way it felt when you originally answered the question. Did you feel confident that you had answered the question correctly? Then you have just discovered an opportunity to improve your metacognition. Be on the lookout for that feeling and respond with caution.

concept :  a mental representation of a category of things in the world

Dunning-Kruger effect : individuals who are less competent tend to overestimate their abilities more than individuals who are more competent do

inference : an assumption about the truth of something that is not stated. Inferences come from our prior knowledge and experience, and from logical reasoning

metacognition :  knowledge about one’s own cognitive processes; thinking about your thinking

Critical thinking

One particular kind of knowledge or thinking skill that is related to metacognition is  critical thinking (Chew, 2020). You may have noticed that critical thinking is an objective in many college courses, and thus it could be a legitimate topic to cover in nearly any college course. It is particularly appropriate in psychology, however. As the science of (behavior and) mental processes, psychology is obviously well suited to be the discipline through which you should be introduced to this important way of thinking.

More importantly, there is a particular need to use critical thinking in psychology. We are all, in a way, experts in human behavior and mental processes, having engaged in them literally since birth. Thus, perhaps more than in any other class, students typically approach psychology with very clear ideas and opinions about its subject matter. That is, students already “know” a lot about psychology. The problem is, “it ain’t so much the things we don’t know that get us into trouble. It’s the things we know that just ain’t so” (Ward, quoted in Gilovich 1991). Indeed, many of students’ preconceptions about psychology are just plain wrong. Randolph Smith (2002) wrote a book about critical thinking in psychology called  Challenging Your Preconceptions,  highlighting this fact. On the other hand, many of students’ preconceptions about psychology are just plain right! But wait, how do you know which of your preconceptions are right and which are wrong? And when you come across a research finding or theory in this class that contradicts your preconceptions, what will you do? Will you stick to your original idea, discounting the information from the class? Will you immediately change your mind? Critical thinking can help us sort through this confusing mess.

But what is critical thinking? The goal of critical thinking is simple to state (but extraordinarily difficult to achieve): it is to be right, to draw the correct conclusions, to believe in things that are true and to disbelieve things that are false. We will provide two definitions of critical thinking (or, if you like, one large definition with two distinct parts). First, a more conceptual one: Critical thinking is thinking like a scientist in your everyday life (Schmaltz, Jansen, & Wenckowski, 2017).  Our second definition is more operational; it is simply a list of skills that are essential to be a critical thinker. Critical thinking entails solid reasoning and problem solving skills; skepticism; and an ability to identify biases, distortions, omissions, and assumptions. Excellent deductive and inductive reasoning, and problem solving skills contribute to critical thinking. So, you can consider the subject matter of sections 7.2 and 7.3 to be part of critical thinking. Because we will be devoting considerable time to these concepts in the rest of the module, let us begin with a discussion about the other aspects of critical thinking.

Let’s address that first part of the definition. Scientists form hypotheses, or predictions about some possible future observations. Then, they collect data, or information (think of this as making those future observations). They do their best to make unbiased observations using reliable techniques that have been verified by others. Then, and only then, they draw a conclusion about what those observations mean. Oh, and do not forget the most important part. “Conclusion” is probably not the most appropriate word because this conclusion is only tentative. A scientist is always prepared that someone else might come along and produce new observations that would require a new conclusion be drawn. Wow! If you like to be right, you could do a lot worse than using a process like this.

A Critical Thinker’s Toolkit 

Now for the second part of the definition. Good critical thinkers (and scientists) rely on a variety of tools to evaluate information. Perhaps the most recognizable tool for critical thinking is  skepticism (and this term provides the clearest link to the thinking like a scientist definition, as you are about to see). Some people intend it as an insult when they call someone a skeptic. But if someone calls you a skeptic, if they are using the term correctly, you should consider it a great compliment. Simply put, skepticism is a way of thinking in which you refrain from drawing a conclusion or changing your mind until good evidence has been provided. People from Missouri should recognize this principle, as Missouri is known as the Show-Me State. As a skeptic, you are not inclined to believe something just because someone said so, because someone else believes it, or because it sounds reasonable. You must be persuaded by high quality evidence.

Of course, if that evidence is produced, you have a responsibility as a skeptic to change your belief. Failure to change a belief in the face of good evidence is not skepticism; skepticism has open mindedness at its core. M. Neil Browne and Stuart Keeley (2018) use the term weak sense critical thinking to describe critical thinking behaviors that are used only to strengthen a prior belief. Strong sense critical thinking, on the other hand, has as its goal reaching the best conclusion. Sometimes that means strengthening your prior belief, but sometimes it means changing your belief to accommodate the better evidence.

Many times, a failure to think critically or weak sense critical thinking is related to a  bias , an inclination, tendency, leaning, or prejudice. Everybody has biases, but many people are unaware of them. Awareness of your own biases gives you the opportunity to control or counteract them. Unfortunately, however, many people are happy to let their biases creep into their attempts to persuade others; indeed, it is a key part of their persuasive strategy. To see how these biases influence messages, just look at the different descriptions and explanations of the same events given by people of different ages or income brackets, or conservative versus liberal commentators, or by commentators from different parts of the world. Of course, to be successful, these people who are consciously using their biases must disguise them. Even undisguised biases can be difficult to identify, so disguised ones can be nearly impossible.

Here are some common sources of biases:

• Personal values and beliefs.  Some people believe that human beings are basically driven to seek power and that they are typically in competition with one another over scarce resources. These beliefs are similar to the world-view that political scientists call “realism.” Other people believe that human beings prefer to cooperate and that, given the chance, they will do so. These beliefs are similar to the world-view known as “idealism.” For many people, these deeply held beliefs can influence, or bias, their interpretations of such wide ranging situations as the behavior of nations and their leaders or the behavior of the driver in the car ahead of you. For example, if your worldview is that people are typically in competition and someone cuts you off on the highway, you may assume that the driver did it purposely to get ahead of you. Other types of beliefs about the way the world is or the way the world should be, for example, political beliefs, can similarly become a significant source of bias.
• Racism, sexism, ageism and other forms of prejudice and bigotry.  These are, sadly, a common source of bias in many people. They are essentially a special kind of “belief about the way the world is.” These beliefs—for example, that women do not make effective leaders—lead people to ignore contradictory evidence (examples of effective women leaders, or research that disputes the belief) and to interpret ambiguous evidence in a way consistent with the belief.
• Self-interest.  When particular people benefit from things turning out a certain way, they can sometimes be very susceptible to letting that interest bias them. For example, a company that will earn a profit if they sell their product may have a bias in the way that they give information about their product. A union that will benefit if its members get a generous contract might have a bias in the way it presents information about salaries at competing organizations. (Note that our inclusion of examples describing both companies and unions is an explicit attempt to control for our own personal biases). Home buyers are often dismayed to discover that they purchased their dream house from someone whose self-interest led them to lie about flooding problems in the basement or back yard. This principle, the biasing power of self-interest, is likely what led to the famous phrase  Caveat Emptor  (let the buyer beware) .  

Knowing that these types of biases exist will help you evaluate evidence more critically. Do not forget, though, that people are not always keen to let you discover the sources of biases in their arguments. For example, companies or political organizations can sometimes disguise their support of a research study by contracting with a university professor, who comes complete with a seemingly unbiased institutional affiliation, to conduct the study.

People’s biases, conscious or unconscious, can lead them to make omissions, distortions, and assumptions that undermine our ability to correctly evaluate evidence. It is essential that you look for these elements. Always ask, what is missing, what is not as it appears, and what is being assumed here? For example, consider this (fictional) chart from an ad reporting customer satisfaction at 4 local health clubs.

Clearly, from the results of the chart, one would be tempted to give Club C a try, as customer satisfaction is much higher than for the other 3 clubs.

There are so many distortions and omissions in this chart, however, that it is actually quite meaningless. First, how was satisfaction measured? Do the bars represent responses to a survey? If so, how were the questions asked? Most importantly, where is the missing scale for the chart? Although the differences look quite large, are they really?

Well, here is the same chart, with a different scale, this time labeled:

Club C is not so impressive any more, is it? In fact, all of the health clubs have customer satisfaction ratings (whatever that means) between 85% and 88%. In the first chart, the entire scale of the graph included only the percentages between 83 and 89. This “judicious” choice of scale—some would call it a distortion—and omission of that scale from the chart make the tiny differences among the clubs seem important, however.

Also, in order to be a critical thinker, you need to learn to pay attention to the assumptions that underlie a message. Let us briefly illustrate the role of assumptions by touching on some people’s beliefs about the criminal justice system in the US. Some believe that a major problem with our judicial system is that many criminals go free because of legal technicalities. Others believe that a major problem is that many innocent people are convicted of crimes. The simple fact is, both types of errors occur. A person’s conclusion about which flaw in our judicial system is the greater tragedy is based on an assumption about which of these is the more serious error (letting the guilty go free or convicting the innocent). This type of assumption is called a value assumption (Browne and Keeley, 2018). It reflects the differences in values that people develop, differences that may lead us to disregard valid evidence that does not fit in with our particular values.

Oh, by the way, some students probably noticed this, but the seven tips for evaluating information that we shared in Module 1 are related to this. Actually, they are part of this section. The tips are, to a very large degree, set of ideas you can use to help you identify biases, distortions, omissions, and assumptions. If you do not remember this section, we strongly recommend you take a few minutes to review it.

skepticism :  a way of thinking in which you refrain from drawing a conclusion or changing your mind until good evidence has been provided

bias : an inclination, tendency, leaning, or prejudice

• Which of your beliefs (or disbeliefs) from the Activate exercise for this section were derived from a process of critical thinking? If some of your beliefs were not based on critical thinking, are you willing to reassess these beliefs? If the answer is no, why do you think that is? If the answer is yes, what concrete steps will you take?

7.2 Reasoning and Judgment

• What percentage of kidnappings are committed by strangers?
• Which area of the house is riskiest: kitchen, bathroom, or stairs?
• What is the most common cancer in the US?
• What percentage of workplace homicides are committed by co-workers?

An essential set of procedural thinking skills is  reasoning , the ability to generate and evaluate solid conclusions from a set of statements or evidence. You should note that these conclusions (when they are generated instead of being evaluated) are one key type of inference that we described in Section 7.1. There are two main types of reasoning, deductive and inductive.

Deductive reasoning

Suppose your teacher tells you that if you get an A on the final exam in a course, you will get an A for the whole course. Then, you get an A on the final exam. What will your final course grade be? Most people can see instantly that you can conclude with certainty that you will get an A for the course. This is a type of reasoning called  deductive reasoning , which is defined as reasoning in which a conclusion is guaranteed to be true as long as the statements leading to it are true. The three statements can be listed as an  argument , with two beginning statements and a conclusion:

Statement 1: If you get an A on the final exam, you will get an A for the course

Statement 2: You get an A on the final exam

Conclusion: You will get an A for the course

This particular arrangement, in which true beginning statements lead to a guaranteed true conclusion, is known as a  deductively valid argument . Although deductive reasoning is often the subject of abstract, brain-teasing, puzzle-like word problems, it is actually an extremely important type of everyday reasoning. It is just hard to recognize sometimes. For example, imagine that you are looking for your car keys and you realize that they are either in the kitchen drawer or in your book bag. After looking in the kitchen drawer, you instantly know that they must be in your book bag. That conclusion results from a simple deductive reasoning argument. In addition, solid deductive reasoning skills are necessary for you to succeed in the sciences, philosophy, math, computer programming, and any endeavor involving the use of logic to persuade others to your point of view or to evaluate others’ arguments.

Cognitive psychologists, and before them philosophers, have been quite interested in deductive reasoning, not so much for its practical applications, but for the insights it can offer them about the ways that human beings think. One of the early ideas to emerge from the examination of deductive reasoning is that people learn (or develop) mental versions of rules that allow them to solve these types of reasoning problems (Braine, 1978; Braine, Reiser, & Rumain, 1984). The best way to see this point of view is to realize that there are different possible rules, and some of them are very simple. For example, consider this rule of logic:

therefore q

Logical rules are often presented abstractly, as letters, in order to imply that they can be used in very many specific situations. Here is a concrete version of the of the same rule:

I’ll either have pizza or a hamburger for dinner tonight (p or q)

I won’t have pizza (not p)

Therefore, I’ll have a hamburger (therefore q)

This kind of reasoning seems so natural, so easy, that it is quite plausible that we would use a version of this rule in our daily lives. At least, it seems more plausible than some of the alternative possibilities—for example, that we need to have experience with the specific situation (pizza or hamburger, in this case) in order to solve this type of problem easily. So perhaps there is a form of natural logic (Rips, 1990) that contains very simple versions of logical rules. When we are faced with a reasoning problem that maps onto one of these rules, we use the rule.

But be very careful; things are not always as easy as they seem. Even these simple rules are not so simple. For example, consider the following rule. Many people fail to realize that this rule is just as valid as the pizza or hamburger rule above.

if p, then q

therefore, not p

Concrete version:

If I eat dinner, then I will have dessert

I did not have dessert

Therefore, I did not eat dinner

The simple fact is, it can be very difficult for people to apply rules of deductive logic correctly; as a result, they make many errors when trying to do so. Is this a deductively valid argument or not?

Students who like school study a lot

Students who study a lot get good grades

Jane does not like school

Therefore, Jane does not get good grades

Many people are surprised to discover that this is not a logically valid argument; the conclusion is not guaranteed to be true from the beginning statements. Although the first statement says that students who like school study a lot, it does NOT say that students who do not like school do not study a lot. In other words, it may very well be possible to study a lot without liking school. Even people who sometimes get problems like this right might not be using the rules of deductive reasoning. Instead, they might just be making judgments for examples they know, in this case, remembering instances of people who get good grades despite not liking school.

Making deductive reasoning even more difficult is the fact that there are two important properties that an argument may have. One, it can be valid or invalid (meaning that the conclusion does or does not follow logically from the statements leading up to it). Two, an argument (or more correctly, its conclusion) can be true or false. Here is an example of an argument that is logically valid, but has a false conclusion (at least we think it is false).

Either you are eleven feet tall or the Grand Canyon was created by a spaceship crashing into the earth.

You are not eleven feet tall

Therefore the Grand Canyon was created by a spaceship crashing into the earth

This argument has the exact same form as the pizza or hamburger argument above, making it is deductively valid. The conclusion is so false, however, that it is absurd (of course, the reason the conclusion is false is that the first statement is false). When people are judging arguments, they tend to not observe the difference between deductive validity and the empirical truth of statements or conclusions. If the elements of an argument happen to be true, people are likely to judge the argument logically valid; if the elements are false, they will very likely judge it invalid (Markovits & Bouffard-Bouchard, 1992; Moshman & Franks, 1986). Thus, it seems a stretch to say that people are using these logical rules to judge the validity of arguments. Many psychologists believe that most people actually have very limited deductive reasoning skills (Johnson-Laird, 1999). They argue that when faced with a problem for which deductive logic is required, people resort to some simpler technique, such as matching terms that appear in the statements and the conclusion (Evans, 1982). This might not seem like a problem, but what if reasoners believe that the elements are true and they happen to be wrong; they will would believe that they are using a form of reasoning that guarantees they are correct and yet be wrong.

deductive reasoning :  a type of reasoning in which the conclusion is guaranteed to be true any time the statements leading up to it are true

argument :  a set of statements in which the beginning statements lead to a conclusion

deductively valid argument :  an argument for which true beginning statements guarantee that the conclusion is true

Inductive reasoning and judgment

Every day, you make many judgments about the likelihood of one thing or another. Whether you realize it or not, you are practicing  inductive reasoning   on a daily basis. In inductive reasoning arguments, a conclusion is likely whenever the statements preceding it are true. The first thing to notice about inductive reasoning is that, by definition, you can never be sure about your conclusion; you can only estimate how likely the conclusion is. Inductive reasoning may lead you to focus on Memory Encoding and Recoding when you study for the exam, but it is possible the instructor will ask more questions about Memory Retrieval instead. Unlike deductive reasoning, the conclusions you reach through inductive reasoning are only probable, not certain. That is why scientists consider inductive reasoning weaker than deductive reasoning. But imagine how hard it would be for us to function if we could not act unless we were certain about the outcome.

Inductive reasoning can be represented as logical arguments consisting of statements and a conclusion, just as deductive reasoning can be. In an inductive argument, you are given some statements and a conclusion (or you are given some statements and must draw a conclusion). An argument is  inductively strong   if the conclusion would be very probable whenever the statements are true. So, for example, here is an inductively strong argument:

• Statement #1: The forecaster on Channel 2 said it is going to rain today.
• Statement #2: The forecaster on Channel 5 said it is going to rain today.
• Statement #3: It is very cloudy and humid.
• Statement #4: You just heard thunder.
• Conclusion (or judgment): It is going to rain today.

Think of the statements as evidence, on the basis of which you will draw a conclusion. So, based on the evidence presented in the four statements, it is very likely that it will rain today. Will it definitely rain today? Certainly not. We can all think of times that the weather forecaster was wrong.

A true story: Some years ago psychology student was watching a baseball playoff game between the St. Louis Cardinals and the Los Angeles Dodgers. A graphic on the screen had just informed the audience that the Cardinal at bat, (Hall of Fame shortstop) Ozzie Smith, a switch hitter batting left-handed for this plate appearance, had never, in nearly 3000 career at-bats, hit a home run left-handed. The student, who had just learned about inductive reasoning in his psychology class, turned to his companion (a Cardinals fan) and smugly said, “It is an inductively strong argument that Ozzie Smith will not hit a home run.” He turned back to face the television just in time to watch the ball sail over the right field fence for a home run. Although the student felt foolish at the time, he was not wrong. It was an inductively strong argument; 3000 at-bats is an awful lot of evidence suggesting that the Wizard of Ozz (as he was known) would not be hitting one out of the park (think of each at-bat without a home run as a statement in an inductive argument). Sadly (for the die-hard Cubs fan and Cardinals-hating student), despite the strength of the argument, the conclusion was wrong.

Given the possibility that we might draw an incorrect conclusion even with an inductively strong argument, we really want to be sure that we do, in fact, make inductively strong arguments. If we judge something probable, it had better be probable. If we judge something nearly impossible, it had better not happen. Think of inductive reasoning, then, as making reasonably accurate judgments of the probability of some conclusion given a set of evidence.

We base many decisions in our lives on inductive reasoning. For example:

Statement #1: Psychology is not my best subject

Statement #2: My psychology instructor has a reputation for giving difficult exams

Statement #3: My first psychology exam was much harder than I expected

Judgment: The next exam will probably be very difficult.

Decision: I will study tonight instead of watching Netflix.

Some other examples of judgments that people commonly make in a school context include judgments of the likelihood that:

• A particular class will be interesting/useful/difficult
• You will be able to finish writing a paper by next week if you go out tonight
• Your laptop’s battery will last through the next trip to the library
• You will not miss anything important if you skip class tomorrow
• Your instructor will not notice if you skip class tomorrow
• You will be able to find a book that you will need for a paper
• There will be an essay question about Memory Encoding on the next exam

Tversky and Kahneman (1983) recognized that there are two general ways that we might make these judgments; they termed them extensional (i.e., following the laws of probability) and intuitive (i.e., using shortcuts or heuristics, see below). We will use a similar distinction between Type 1 and Type 2 thinking, as described by Keith Stanovich and his colleagues (Evans and Stanovich, 2013; Stanovich and West, 2000). Type 1 thinking is fast, automatic, effortful, and emotional. In fact, it is hardly fair to call it reasoning at all, as judgments just seem to pop into one’s head. Type 2 thinking , on the other hand, is slow, effortful, and logical. So obviously, it is more likely to lead to a correct judgment, or an optimal decision. The problem is, we tend to over-rely on Type 1. Now, we are not saying that Type 2 is the right way to go for every decision or judgment we make. It seems a bit much, for example, to engage in a step-by-step logical reasoning procedure to decide whether we will have chicken or fish for dinner tonight.

Many bad decisions in some very important contexts, however, can be traced back to poor judgments of the likelihood of certain risks or outcomes that result from the use of Type 1 when a more logical reasoning process would have been more appropriate. For example:

Statement #1: It is late at night.

Statement #2: Albert has been drinking beer for the past five hours at a party.

Statement #3: Albert is not exactly sure where he is or how far away home is.

Judgment: Albert will have no difficulty walking home.

Decision: He walks home alone.

As you can see in this example, the three statements backing up the judgment do not really support it. In other words, this argument is not inductively strong because it is based on judgments that ignore the laws of probability. What are the chances that someone facing these conditions will be able to walk home alone easily? And one need not be drunk to make poor decisions based on judgments that just pop into our heads.

The truth is that many of our probability judgments do not come very close to what the laws of probability say they should be. Think about it. In order for us to reason in accordance with these laws, we would need to know the laws of probability, which would allow us to calculate the relationship between particular pieces of evidence and the probability of some outcome (i.e., how much likelihood should change given a piece of evidence), and we would have to do these heavy math calculations in our heads. After all, that is what Type 2 requires. Needless to say, even if we were motivated, we often do not even know how to apply Type 2 reasoning in many cases.

So what do we do when we don’t have the knowledge, skills, or time required to make the correct mathematical judgment? Do we hold off and wait until we can get better evidence? Do we read up on probability and fire up our calculator app so we can compute the correct probability? Of course not. We rely on Type 1 thinking. We “wing it.” That is, we come up with a likelihood estimate using some means at our disposal. Psychologists use the term heuristic to describe the type of “winging it” we are talking about. A  heuristic   is a shortcut strategy that we use to make some judgment or solve some problem (see Section 7.3). Heuristics are easy and quick, think of them as the basic procedures that are characteristic of Type 1.  They can absolutely lead to reasonably good judgments and decisions in some situations (like choosing between chicken and fish for dinner). They are, however, far from foolproof. There are, in fact, quite a lot of situations in which heuristics can lead us to make incorrect judgments, and in many cases the decisions based on those judgments can have serious consequences.

Let us return to the activity that begins this section. You were asked to judge the likelihood (or frequency) of certain events and risks. You were free to come up with your own evidence (or statements) to make these judgments. This is where a heuristic crops up. As a judgment shortcut, we tend to generate specific examples of those very events to help us decide their likelihood or frequency. For example, if we are asked to judge how common, frequent, or likely a particular type of cancer is, many of our statements would be examples of specific cancer cases:

Statement #1: Andy Kaufman (comedian) had lung cancer.

Statement #2: Colin Powell (US Secretary of State) had prostate cancer.

Statement #3: Bob Marley (musician) had skin and brain cancer

Statement #4: Sandra Day O’Connor (Supreme Court Justice) had breast cancer.

Statement #5: Fred Rogers (children’s entertainer) had stomach cancer.

Statement #6: Robin Roberts (news anchor) had breast cancer.

Statement #7: Bette Davis (actress) had breast cancer.

Judgment: Breast cancer is the most common type.

Your own experience or memory may also tell you that breast cancer is the most common type. But it is not (although it is common). Actually, skin cancer is the most common type in the US. We make the same types of misjudgments all the time because we do not generate the examples or evidence according to their actual frequencies or probabilities. Instead, we have a tendency (or bias) to search for the examples in memory; if they are easy to retrieve, we assume that they are common. To rephrase this in the language of the heuristic, events seem more likely to the extent that they are available to memory. This bias has been termed the  availability heuristic   (Kahneman and Tversky, 1974).

The fact that we use the availability heuristic does not automatically mean that our judgment is wrong. The reason we use heuristics in the first place is that they work fairly well in many cases (and, of course that they are easy to use). So, the easiest examples to think of sometimes are the most common ones. Is it more likely that a member of the U.S. Senate is a man or a woman? Most people have a much easier time generating examples of male senators. And as it turns out, the U.S. Senate has many more men than women (74 to 26 in 2020). In this case, then, the availability heuristic would lead you to make the correct judgment; it is far more likely that a senator would be a man.

In many other cases, however, the availability heuristic will lead us astray. This is because events can be memorable for many reasons other than their frequency. Section 5.2, Encoding Meaning, suggested that one good way to encode the meaning of some information is to form a mental image of it. Thus, information that has been pictured mentally will be more available to memory. Indeed, an event that is vivid and easily pictured will trick many people into supposing that type of event is more common than it actually is. Repetition of information will also make it more memorable. So, if the same event is described to you in a magazine, on the evening news, on a podcast that you listen to, and in your Facebook feed; it will be very available to memory. Again, the availability heuristic will cause you to misperceive the frequency of these types of events.

Most interestingly, information that is unusual is more memorable. Suppose we give you the following list of words to remember: box, flower, letter, platypus, oven, boat, newspaper, purse, drum, car. Very likely, the easiest word to remember would be platypus, the unusual one. The same thing occurs with memories of events. An event may be available to memory because it is unusual, yet the availability heuristic leads us to judge that the event is common. Did you catch that? In these cases, the availability heuristic makes us think the exact opposite of the true frequency. We end up thinking something is common because it is unusual (and therefore memorable). Yikes.

The misapplication of the availability heuristic sometimes has unfortunate results. For example, if you went to K-12 school in the US over the past 10 years, it is extremely likely that you have participated in lockdown and active shooter drills. Of course, everyone is trying to prevent the tragedy of another school shooting. And believe us, we are not trying to minimize how terrible the tragedy is. But the truth of the matter is, school shootings are extremely rare. Because the federal government does not keep a database of school shootings, the Washington Post has maintained their own running tally. Between 1999 and January 2020 (the date of the most recent school shooting with a death in the US at of the time this paragraph was written), the Post reported a total of 254 people died in school shootings in the US. Not 254 per year, 254 total. That is an average of 12 per year. Of course, that is 254 people who should not have died (particularly because many were children), but in a country with approximately 60,000,000 students and teachers, this is a very small risk.

But many students and teachers are terrified that they will be victims of school shootings because of the availability heuristic. It is so easy to think of examples (they are very available to memory) that people believe the event is very common. It is not. And there is a downside to this. We happen to believe that there is an enormous gun violence problem in the United States. According the the Centers for Disease Control and Prevention, there were 39,773 firearm deaths in the US in 2017. Fifteen of those deaths were in school shootings, according to the Post. 60% of those deaths were suicides. When people pay attention to the school shooting risk (low), they often fail to notice the much larger risk.

And examples like this are by no means unique. The authors of this book have been teaching psychology since the 1990’s. We have been able to make the exact same arguments about the misapplication of the availability heuristics and keep them current by simply swapping out for the “fear of the day.” In the 1990’s it was children being kidnapped by strangers (it was known as “stranger danger”) despite the facts that kidnappings accounted for only 2% of the violent crimes committed against children, and only 24% of kidnappings are committed by strangers (US Department of Justice, 2007). This fear overlapped with the fear of terrorism that gripped the country after the 2001 terrorist attacks on the World Trade Center and US Pentagon and still plagues the population of the US somewhat in 2020. After a well-publicized, sensational act of violence, people are extremely likely to increase their estimates of the chances that they, too, will be victims of terror. Think about the reality, however. In October of 2001, a terrorist mailed anthrax spores to members of the US government and a number of media companies. A total of five people died as a result of this attack. The nation was nearly paralyzed by the fear of dying from the attack; in reality the probability of an individual person dying was 0.00000002.

The availability heuristic can lead you to make incorrect judgments in a school setting as well. For example, suppose you are trying to decide if you should take a class from a particular math professor. You might try to make a judgment of how good a teacher she is by recalling instances of friends and acquaintances making comments about her teaching skill. You may have some examples that suggest that she is a poor teacher very available to memory, so on the basis of the availability heuristic you judge her a poor teacher and decide to take the class from someone else. What if, however, the instances you recalled were all from the same person, and this person happens to be a very colorful storyteller? The subsequent ease of remembering the instances might not indicate that the professor is a poor teacher after all.

Although the availability heuristic is obviously important, it is not the only judgment heuristic we use. Amos Tversky and Daniel Kahneman examined the role of heuristics in inductive reasoning in a long series of studies. Kahneman received a Nobel Prize in Economics for this research in 2002, and Tversky would have certainly received one as well if he had not died of melanoma at age 59 in 1996 (Nobel Prizes are not awarded posthumously). Kahneman and Tversky demonstrated repeatedly that people do not reason in ways that are consistent with the laws of probability. They identified several heuristic strategies that people use instead to make judgments about likelihood. The importance of this work for economics (and the reason that Kahneman was awarded the Nobel Prize) is that earlier economic theories had assumed that people do make judgments rationally, that is, in agreement with the laws of probability.

Another common heuristic that people use for making judgments is the  representativeness heuristic (Kahneman & Tversky 1973). Suppose we describe a person to you. He is quiet and shy, has an unassuming personality, and likes to work with numbers. Is this person more likely to be an accountant or an attorney? If you said accountant, you were probably using the representativeness heuristic. Our imaginary person is judged likely to be an accountant because he resembles, or is representative of the concept of, an accountant. When research participants are asked to make judgments such as these, the only thing that seems to matter is the representativeness of the description. For example, if told that the person described is in a room that contains 70 attorneys and 30 accountants, participants will still assume that he is an accountant.

inductive reasoning :  a type of reasoning in which we make judgments about likelihood from sets of evidence

inductively strong argument :  an inductive argument in which the beginning statements lead to a conclusion that is probably true

heuristic :  a shortcut strategy that we use to make judgments and solve problems. Although they are easy to use, they do not guarantee correct judgments and solutions

availability heuristic :  judging the frequency or likelihood of some event type according to how easily examples of the event can be called to mind (i.e., how available they are to memory)

representativeness heuristic:   judging the likelihood that something is a member of a category on the basis of how much it resembles a typical category member (i.e., how representative it is of the category)

Type 1 thinking : fast, automatic, and emotional thinking.

Type 2 thinking : slow, effortful, and logical thinking.

• What percentage of workplace homicides are co-worker violence?

Many people get these questions wrong. The answers are 10%; stairs; skin; 6%. How close were your answers? Explain how the availability heuristic might have led you to make the incorrect judgments.

• Can you think of some other judgments that you have made (or beliefs that you have) that might have been influenced by the availability heuristic?

7.3 Problem Solving

• Please take a few minutes to list a number of problems that you are facing right now.
• Now write about a problem that you recently solved.
• What is your definition of a problem?

Mary has a problem. Her daughter, ordinarily quite eager to please, appears to delight in being the last person to do anything. Whether getting ready for school, going to piano lessons or karate class, or even going out with her friends, she seems unwilling or unable to get ready on time. Other people have different kinds of problems. For example, many students work at jobs, have numerous family commitments, and are facing a course schedule full of difficult exams, assignments, papers, and speeches. How can they find enough time to devote to their studies and still fulfill their other obligations? Speaking of students and their problems: Show that a ball thrown vertically upward with initial velocity v0 takes twice as much time to return as to reach the highest point (from Spiegel, 1981).

These are three very different situations, but we have called them all problems. What makes them all the same, despite the differences? A psychologist might define a  problem   as a situation with an initial state, a goal state, and a set of possible intermediate states. Somewhat more meaningfully, we might consider a problem a situation in which you are in here one state (e.g., daughter is always late), you want to be there in another state (e.g., daughter is not always late), and with no obvious way to get from here to there. Defined this way, each of the three situations we outlined can now be seen as an example of the same general concept, a problem. At this point, you might begin to wonder what is not a problem, given such a general definition. It seems that nearly every non-routine task we engage in could qualify as a problem. As long as you realize that problems are not necessarily bad (it can be quite fun and satisfying to rise to the challenge and solve a problem), this may be a useful way to think about it.

Can we identify a set of problem-solving skills that would apply to these very different kinds of situations? That task, in a nutshell, is a major goal of this section. Let us try to begin to make sense of the wide variety of ways that problems can be solved with an important observation: the process of solving problems can be divided into two key parts. First, people have to notice, comprehend, and represent the problem properly in their minds (called  problem representation ). Second, they have to apply some kind of solution strategy to the problem. Psychologists have studied both of these key parts of the process in detail.

When you first think about the problem-solving process, you might guess that most of our difficulties would occur because we are failing in the second step, the application of strategies. Although this can be a significant difficulty much of the time, the more important source of difficulty is probably problem representation. In short, we often fail to solve a problem because we are looking at it, or thinking about it, the wrong way.

problem :  a situation in which we are in an initial state, have a desired goal state, and there is a number of possible intermediate states (i.e., there is no obvious way to get from the initial to the goal state)

problem representation :  noticing, comprehending and forming a mental conception of a problem

Defining and Mentally Representing Problems in Order to Solve Them

So, the main obstacle to solving a problem is that we do not clearly understand exactly what the problem is. Recall the problem with Mary’s daughter always being late. One way to represent, or to think about, this problem is that she is being defiant. She refuses to get ready in time. This type of representation or definition suggests a particular type of solution. Another way to think about the problem, however, is to consider the possibility that she is simply being sidetracked by interesting diversions. This different conception of what the problem is (i.e., different representation) suggests a very different solution strategy. For example, if Mary defines the problem as defiance, she may be tempted to solve the problem using some kind of coercive tactics, that is, to assert her authority as her mother and force her to listen. On the other hand, if Mary defines the problem as distraction, she may try to solve it by simply removing the distracting objects.

As you might guess, when a problem is represented one way, the solution may seem very difficult, or even impossible. Seen another way, the solution might be very easy. For example, consider the following problem (from Nasar, 1998):

Two bicyclists start 20 miles apart and head toward each other, each going at a steady rate of 10 miles per hour. At the same time, a fly that travels at a steady 15 miles per hour starts from the front wheel of the southbound bicycle and flies to the front wheel of the northbound one, then turns around and flies to the front wheel of the southbound one again, and continues in this manner until he is crushed between the two front wheels. Question: what total distance did the fly cover?

Please take a few minutes to try to solve this problem.

Most people represent this problem as a question about a fly because, well, that is how the question is asked. The solution, using this representation, is to figure out how far the fly travels on the first leg of its journey, then add this total to how far it travels on the second leg of its journey (when it turns around and returns to the first bicycle), then continue to add the smaller distance from each leg of the journey until you converge on the correct answer. You would have to be quite skilled at math to solve this problem, and you would probably need some time and pencil and paper to do it.

If you consider a different representation, however, you can solve this problem in your head. Instead of thinking about it as a question about a fly, think about it as a question about the bicycles. They are 20 miles apart, and each is traveling 10 miles per hour. How long will it take for the bicycles to reach each other? Right, one hour. The fly is traveling 15 miles per hour; therefore, it will travel a total of 15 miles back and forth in the hour before the bicycles meet. Represented one way (as a problem about a fly), the problem is quite difficult. Represented another way (as a problem about two bicycles), it is easy. Changing your representation of a problem is sometimes the best—sometimes the only—way to solve it.

Unfortunately, however, changing a problem’s representation is not the easiest thing in the world to do. Often, problem solvers get stuck looking at a problem one way. This is called  fixation . Most people who represent the preceding problem as a problem about a fly probably do not pause to reconsider, and consequently change, their representation. A parent who thinks her daughter is being defiant is unlikely to consider the possibility that her behavior is far less purposeful.

Problem-solving fixation was examined by a group of German psychologists called Gestalt psychologists during the 1930’s and 1940’s. Karl Dunker, for example, discovered an important type of failure to take a different perspective called  functional fixedness . Imagine being a participant in one of his experiments. You are asked to figure out how to mount two candles on a door and are given an assortment of odds and ends, including a small empty cardboard box and some thumbtacks. Perhaps you have already figured out a solution: tack the box to the door so it forms a platform, then put the candles on top of the box. Most people are able to arrive at this solution. Imagine a slight variation of the procedure, however. What if, instead of being empty, the box had matches in it? Most people given this version of the problem do not arrive at the solution given above. Why? Because it seems to people that when the box contains matches, it already has a function; it is a matchbox. People are unlikely to consider a new function for an object that already has a function. This is functional fixedness.

Mental set is a type of fixation in which the problem solver gets stuck using the same solution strategy that has been successful in the past, even though the solution may no longer be useful. It is commonly seen when students do math problems for homework. Often, several problems in a row require the reapplication of the same solution strategy. Then, without warning, the next problem in the set requires a new strategy. Many students attempt to apply the formerly successful strategy on the new problem and therefore cannot come up with a correct answer.

The thing to remember is that you cannot solve a problem unless you correctly identify what it is to begin with (initial state) and what you want the end result to be (goal state). That may mean looking at the problem from a different angle and representing it in a new way. The correct representation does not guarantee a successful solution, but it certainly puts you on the right track.

A bit more optimistically, the Gestalt psychologists discovered what may be considered the opposite of fixation, namely  insight . Sometimes the solution to a problem just seems to pop into your head. Wolfgang Kohler examined insight by posing many different problems to chimpanzees, principally problems pertaining to their acquisition of out-of-reach food. In one version, a banana was placed outside of a chimpanzee’s cage and a short stick inside the cage. The stick was too short to retrieve the banana, but was long enough to retrieve a longer stick also located outside of the cage. This second stick was long enough to retrieve the banana. After trying, and failing, to reach the banana with the shorter stick, the chimpanzee would try a couple of random-seeming attempts, react with some apparent frustration or anger, then suddenly rush to the longer stick, the correct solution fully realized at this point. This sudden appearance of the solution, observed many times with many different problems, was termed insight by Kohler.

Lest you think it pertains to chimpanzees only, Karl Dunker demonstrated that children also solve problems through insight in the 1930s. More importantly, you have probably experienced insight yourself. Think back to a time when you were trying to solve a difficult problem. After struggling for a while, you gave up. Hours later, the solution just popped into your head, perhaps when you were taking a walk, eating dinner, or lying in bed.

fixation :  when a problem solver gets stuck looking at a problem a particular way and cannot change his or her representation of it (or his or her intended solution strategy)

functional fixedness :  a specific type of fixation in which a problem solver cannot think of a new use for an object that already has a function

mental set :  a specific type of fixation in which a problem solver gets stuck using the same solution strategy that has been successful in the past

insight :  a sudden realization of a solution to a problem

Solving Problems by Trial and Error

Correctly identifying the problem and your goal for a solution is a good start, but recall the psychologist’s definition of a problem: it includes a set of possible intermediate states. Viewed this way, a problem can be solved satisfactorily only if one can find a path through some of these intermediate states to the goal. Imagine a fairly routine problem, finding a new route to school when your ordinary route is blocked (by road construction, for example). At each intersection, you may turn left, turn right, or go straight. A satisfactory solution to the problem (of getting to school) is a sequence of selections at each intersection that allows you to wind up at school.

If you had all the time in the world to get to school, you might try choosing intermediate states randomly. At one corner you turn left, the next you go straight, then you go left again, then right, then right, then straight. Unfortunately, trial and error will not necessarily get you where you want to go, and even if it does, it is not the fastest way to get there. For example, when a friend of ours was in college, he got lost on the way to a concert and attempted to find the venue by choosing streets to turn onto randomly (this was long before the use of GPS). Amazingly enough, the strategy worked, although he did end up missing two out of the three bands who played that night.

Trial and error is not all bad, however. B.F. Skinner, a prominent behaviorist psychologist, suggested that people often behave randomly in order to see what effect the behavior has on the environment and what subsequent effect this environmental change has on them. This seems particularly true for the very young person. Picture a child filling a household’s fish tank with toilet paper, for example. To a child trying to develop a repertoire of creative problem-solving strategies, an odd and random behavior might be just the ticket. Eventually, the exasperated parent hopes, the child will discover that many of these random behaviors do not successfully solve problems; in fact, in many cases they create problems. Thus, one would expect a decrease in this random behavior as a child matures. You should realize, however, that the opposite extreme is equally counterproductive. If the children become too rigid, never trying something unexpected and new, their problem solving skills can become too limited.

Effective problem solving seems to call for a happy medium that strikes a balance between using well-founded old strategies and trying new ground and territory. The individual who recognizes a situation in which an old problem-solving strategy would work best, and who can also recognize a situation in which a new untested strategy is necessary is halfway to success.

Solving Problems with Algorithms and Heuristics

For many problems there is a possible strategy available that will guarantee a correct solution. For example, think about math problems. Math lessons often consist of step-by-step procedures that can be used to solve the problems. If you apply the strategy without error, you are guaranteed to arrive at the correct solution to the problem. This approach is called using an  algorithm , a term that denotes the step-by-step procedure that guarantees a correct solution. Because algorithms are sometimes available and come with a guarantee, you might think that most people use them frequently. Unfortunately, however, they do not. As the experience of many students who have struggled through math classes can attest, algorithms can be extremely difficult to use, even when the problem solver knows which algorithm is supposed to work in solving the problem. In problems outside of math class, we often do not even know if an algorithm is available. It is probably fair to say, then, that algorithms are rarely used when people try to solve problems.

Because algorithms are so difficult to use, people often pass up the opportunity to guarantee a correct solution in favor of a strategy that is much easier to use and yields a reasonable chance of coming up with a correct solution. These strategies are called  problem solving heuristics . Similar to what you saw in section 6.2 with reasoning heuristics, a problem solving heuristic is a shortcut strategy that people use when trying to solve problems. It usually works pretty well, but does not guarantee a correct solution to the problem. For example, one problem solving heuristic might be “always move toward the goal” (so when trying to get to school when your regular route is blocked, you would always turn in the direction you think the school is). A heuristic that people might use when doing math homework is “use the same solution strategy that you just used for the previous problem.”

By the way, we hope these last two paragraphs feel familiar to you. They seem to parallel a distinction that you recently learned. Indeed, algorithms and problem-solving heuristics are another example of the distinction between Type 1 thinking and Type 2 thinking.

Although it is probably not worth describing a large number of specific heuristics, two observations about heuristics are worth mentioning. First, heuristics can be very general or they can be very specific, pertaining to a particular type of problem only. For example, “always move toward the goal” is a general strategy that you can apply to countless problem situations. On the other hand, “when you are lost without a functioning gps, pick the most expensive car you can see and follow it” is specific to the problem of being lost. Second, all heuristics are not equally useful. One heuristic that many students know is “when in doubt, choose c for a question on a multiple-choice exam.” This is a dreadful strategy because many instructors intentionally randomize the order of answer choices. Another test-taking heuristic, somewhat more useful, is “look for the answer to one question somewhere else on the exam.”

You really should pay attention to the application of heuristics to test taking. Imagine that while reviewing your answers for a multiple-choice exam before turning it in, you come across a question for which you originally thought the answer was c. Upon reflection, you now think that the answer might be b. Should you change the answer to b, or should you stick with your first impression? Most people will apply the heuristic strategy to “stick with your first impression.” What they do not realize, of course, is that this is a very poor strategy (Lilienfeld et al, 2009). Most of the errors on exams come on questions that were answered wrong originally and were not changed (so they remain wrong). There are many fewer errors where we change a correct answer to an incorrect answer. And, of course, sometimes we change an incorrect answer to a correct answer. In fact, research has shown that it is more common to change a wrong answer to a right answer than vice versa (Bruno, 2001).

The belief in this poor test-taking strategy (stick with your first impression) is based on the  confirmation bias   (Nickerson, 1998; Wason, 1960). You first saw the confirmation bias in Module 1, but because it is so important, we will repeat the information here. People have a bias, or tendency, to notice information that confirms what they already believe. Somebody at one time told you to stick with your first impression, so when you look at the results of an exam you have taken, you will tend to notice the cases that are consistent with that belief. That is, you will notice the cases in which you originally had an answer correct and changed it to the wrong answer. You tend not to notice the other two important (and more common) cases, changing an answer from wrong to right, and leaving a wrong answer unchanged.

Because heuristics by definition do not guarantee a correct solution to a problem, mistakes are bound to occur when we employ them. A poor choice of a specific heuristic will lead to an even higher likelihood of making an error.

algorithm :  a step-by-step procedure that guarantees a correct solution to a problem

problem solving heuristic :  a shortcut strategy that we use to solve problems. Although they are easy to use, they do not guarantee correct judgments and solutions

confirmation bias :  people’s tendency to notice information that confirms what they already believe

An Effective Problem-Solving Sequence

You may be left with a big question: If algorithms are hard to use and heuristics often don’t work, how am I supposed to solve problems? Robert Sternberg (1996), as part of his theory of what makes people successfully intelligent (Module 8) described a problem-solving sequence that has been shown to work rather well:

• Identify the existence of a problem.  In school, problem identification is often easy; problems that you encounter in math classes, for example, are conveniently labeled as problems for you. Outside of school, however, realizing that you have a problem is a key difficulty that you must get past in order to begin solving it. You must be very sensitive to the symptoms that indicate a problem.
• Define the problem.  Suppose you realize that you have been having many headaches recently. Very likely, you would identify this as a problem. If you define the problem as “headaches,” the solution would probably be to take aspirin or ibuprofen or some other anti-inflammatory medication. If the headaches keep returning, however, you have not really solved the problem—likely because you have mistaken a symptom for the problem itself. Instead, you must find the root cause of the headaches. Stress might be the real problem. For you to successfully solve many problems it may be necessary for you to overcome your fixations and represent the problems differently. One specific strategy that you might find useful is to try to define the problem from someone else’s perspective. How would your parents, spouse, significant other, doctor, etc. define the problem? Somewhere in these different perspectives may lurk the key definition that will allow you to find an easier and permanent solution.
• Formulate strategy.  Now it is time to begin planning exactly how the problem will be solved. Is there an algorithm or heuristic available for you to use? Remember, heuristics by their very nature guarantee that occasionally you will not be able to solve the problem. One point to keep in mind is that you should look for long-range solutions, which are more likely to address the root cause of a problem than short-range solutions.
• Represent and organize information.  Similar to the way that the problem itself can be defined, or represented in multiple ways, information within the problem is open to different interpretations. Suppose you are studying for a big exam. You have chapters from a textbook and from a supplemental reader, along with lecture notes that all need to be studied. How should you (represent and) organize these materials? Should you separate them by type of material (text versus reader versus lecture notes), or should you separate them by topic? To solve problems effectively, you must learn to find the most useful representation and organization of information.
• Allocate resources.  This is perhaps the simplest principle of the problem solving sequence, but it is extremely difficult for many people. First, you must decide whether time, money, skills, effort, goodwill, or some other resource would help to solve the problem Then, you must make the hard choice of deciding which resources to use, realizing that you cannot devote maximum resources to every problem. Very often, the solution to problem is simply to change how resources are allocated (for example, spending more time studying in order to improve grades).
• Monitor and evaluate solutions.  Pay attention to the solution strategy while you are applying it. If it is not working, you may be able to select another strategy. Another fact you should realize about problem solving is that it never does end. Solving one problem frequently brings up new ones. Good monitoring and evaluation of your problem solutions can help you to anticipate and get a jump on solving the inevitable new problems that will arise.

Please note that this as  an  effective problem-solving sequence, not  the  effective problem solving sequence. Just as you can become fixated and end up representing the problem incorrectly or trying an inefficient solution, you can become stuck applying the problem-solving sequence in an inflexible way. Clearly there are problem situations that can be solved without using these skills in this order.

Additionally, many real-world problems may require that you go back and redefine a problem several times as the situation changes (Sternberg et al. 2000). For example, consider the problem with Mary’s daughter one last time. At first, Mary did represent the problem as one of defiance. When her early strategy of pleading and threatening punishment was unsuccessful, Mary began to observe her daughter more carefully. She noticed that, indeed, her daughter’s attention would be drawn by an irresistible distraction or book. Fresh with a re-representation of the problem, she began a new solution strategy. She began to remind her daughter every few minutes to stay on task and remind her that if she is ready before it is time to leave, she may return to the book or other distracting object at that time. Fortunately, this strategy was successful, so Mary did not have to go back and redefine the problem again.

Pick one or two of the problems that you listed when you first started studying this section and try to work out the steps of Sternberg’s problem solving sequence for each one.

a mental representation of a category of things in the world

an assumption about the truth of something that is not stated. Inferences come from our prior knowledge and experience, and from logical reasoning

knowledge about one’s own cognitive processes; thinking about your thinking

individuals who are less competent tend to overestimate their abilities more than individuals who are more competent do

Thinking like a scientist in your everyday life for the purpose of drawing correct conclusions. It entails skepticism; an ability to identify biases, distortions, omissions, and assumptions; and excellent deductive and inductive reasoning, and problem solving skills.

a way of thinking in which you refrain from drawing a conclusion or changing your mind until good evidence has been provided

an inclination, tendency, leaning, or prejudice

a type of reasoning in which the conclusion is guaranteed to be true any time the statements leading up to it are true

a set of statements in which the beginning statements lead to a conclusion

an argument for which true beginning statements guarantee that the conclusion is true

a type of reasoning in which we make judgments about likelihood from sets of evidence

an inductive argument in which the beginning statements lead to a conclusion that is probably true

fast, automatic, and emotional thinking

slow, effortful, and logical thinking

a shortcut strategy that we use to make judgments and solve problems. Although they are easy to use, they do not guarantee correct judgments and solutions

udging the frequency or likelihood of some event type according to how easily examples of the event can be called to mind (i.e., how available they are to memory)

judging the likelihood that something is a member of a category on the basis of how much it resembles a typical category member (i.e., how representative it is of the category)

a situation in which we are in an initial state, have a desired goal state, and there is a number of possible intermediate states (i.e., there is no obvious way to get from the initial to the goal state)

noticing, comprehending and forming a mental conception of a problem

when a problem solver gets stuck looking at a problem a particular way and cannot change his or her representation of it (or his or her intended solution strategy)

a specific type of fixation in which a problem solver cannot think of a new use for an object that already has a function

a specific type of fixation in which a problem solver gets stuck using the same solution strategy that has been successful in the past

a sudden realization of a solution to a problem

a step-by-step procedure that guarantees a correct solution to a problem

The tendency to notice and pay attention to information that confirms your prior beliefs and to ignore information that disconfirms them.

a shortcut strategy that we use to solve problems. Although they are easy to use, they do not guarantee correct judgments and solutions

Introduction to Psychology Copyright © 2020 by Ken Gray; Elizabeth Arnott-Hill; and Or'Shaundra Benson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Introduction to Logic and Critical Thinking

(10 reviews)

Matthew Van Cleave, Lansing Community College

Copyright Year: 2016

Publisher: Matthew J. Van Cleave

Language: English

Formats Available

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Reviewed by "yusef" Alexander Hayes, Professor, North Shore Community College on 6/9/21

Formal and informal reasoning, argument structure, and fallacies are covered comprehensively, meeting the author's goal of both depth and succinctness. read more

Comprehensiveness rating: 5 see less

Formal and informal reasoning, argument structure, and fallacies are covered comprehensively, meeting the author's goal of both depth and succinctness.

Content Accuracy rating: 5

The book is accurate.

Relevance/Longevity rating: 5

While many modern examples are used, and they are helpful, they are not necessarily needed. The usefulness of logical principles and skills have proved themselves, and this text presents them clearly with many examples.

Clarity rating: 5

It is obvious that the author cares about their subject, audience, and students. The text is comprehensible and interesting.

Consistency rating: 5

The format is easy to understand and is consistent in framing.

Modularity rating: 5

This text would be easy to adapt.

Organization/Structure/Flow rating: 5

The organization is excellent, my one suggestion would be a concluding chapter.

Interface rating: 5

I accessed the PDF version and it would be easy to work with.

Grammatical Errors rating: 5

The writing is excellent.

Cultural Relevance rating: 5

This is not an offensive text.

Reviewed by Susan Rottmann, Part-time Lecturer, University of Southern Maine on 3/2/21

I reviewed this book for a course titled "Creative and Critical Inquiry into Modern Life." It won't meet all my needs for that course, but I haven't yet found a book that would. I wanted to review this one because it states in the preface that it... read more

Comprehensiveness rating: 4 see less

I reviewed this book for a course titled "Creative and Critical Inquiry into Modern Life." It won't meet all my needs for that course, but I haven't yet found a book that would. I wanted to review this one because it states in the preface that it fits better for a general critical thinking course than for a true logic course. I'm not sure that I'd agree. I have been using Browne and Keeley's "Asking the Right Questions: A Guide to Critical Thinking," and I think that book is a better introduction to critical thinking for non-philosophy majors. However, the latter is not open source so I will figure out how to get by without it in the future. Overall, the book seems comprehensive if the subject is logic. The index is on the short-side, but fine. However, one issue for me is that there are no page numbers on the table of contents, which is pretty annoying if you want to locate particular sections.

Content Accuracy rating: 4

I didn't find any errors. In general the book uses great examples. However, they are very much based in the American context, not for an international student audience. Some effort to broaden the chosen examples would make the book more widely applicable.

Relevance/Longevity rating: 4

I think the book will remain relevant because of the nature of the material that it addresses, however there will be a need to modify the examples in future editions and as the social and political context changes.

Clarity rating: 3

The text is lucid, but I think it would be difficult for introductory-level students who are not philosophy majors. For example, in Browne and Keeley's "Asking the Right Questions: A Guide to Critical Thinking," the sub-headings are very accessible, such as "Experts cannot rescue us, despite what they say" or "wishful thinking: perhaps the biggest single speed bump on the road to critical thinking." By contrast, Van Cleave's "Introduction to Logic and Critical Thinking" has more subheadings like this: "Using your own paraphrases of premises and conclusions to reconstruct arguments in standard form" or "Propositional logic and the four basic truth functional connectives." If students are prepared very well for the subject, it would work fine, but for students who are newly being introduced to critical thinking, it is rather technical.

It seems to be very consistent in terms of its terminology and framework.

Modularity rating: 4

The book is divided into 4 chapters, each having many sub-chapters. In that sense, it is readily divisible and modular. However, as noted above, there are no page numbers on the table of contents, which would make assigning certain parts rather frustrating. Also, I'm not sure why the book is only four chapter and has so many subheadings (for instance 17 in Chapter 2) and a length of 242 pages. Wouldn't it make more sense to break up the book into shorter chapters? I think this would make it easier to read and to assign in specific blocks to students.

Organization/Structure/Flow rating: 4

The organization of the book is fine overall, although I think adding page numbers to the table of contents and breaking it up into more separate chapters would help it to be more easily navigable.

Interface rating: 4

The book is very simply presented. In my opinion it is actually too simple. There are few boxes or diagrams that highlight and explain important points.

The text seems fine grammatically. I didn't notice any errors.

The book is written with an American audience in mind, but I did not notice culturally insensitive or offensive parts.

Overall, this book is not for my course, but I think it could work well in a philosophy course.

Reviewed by Daniel Lee, Assistant Professor of Economics and Leadership, Sweet Briar College on 11/11/19

This textbook is not particularly comprehensive (4 chapters long), but I view that as a benefit. In fact, I recommend it for use outside of traditional logic classes, but rather interdisciplinary classes that evaluate argument read more

Comprehensiveness rating: 3 see less

This textbook is not particularly comprehensive (4 chapters long), but I view that as a benefit. In fact, I recommend it for use outside of traditional logic classes, but rather interdisciplinary classes that evaluate argument

To the best of my ability, I regard this content as accurate, error-free, and unbiased

The book is broadly relevant and up-to-date, with a few stray temporal references (sydney olympics, particular presidencies). I don't view these time-dated examples as problematic as the logical underpinnings are still there and easily assessed

Clarity rating: 4

My only pushback on clarity is I didn't find the distinction between argument and explanation particularly helpful/useful/easy to follow. However, this experience may have been unique to my class.

To the best of my ability, I regard this content as internally consistent

I found this text quite modular, and was easily able to integrate other texts into my lessons and disregard certain chapters or sub-sections

The book had a logical and consistent structure, but to the extent that there are only 4 chapters, there isn't much scope for alternative approaches here

No problems with the book's interface

The text is grammatically sound

Cultural Relevance rating: 4

Perhaps the text could have been more universal in its approach. While I didn't find the book insensitive per-se, logic can be tricky here because the point is to evaluate meaningful (non-trivial) arguments, but any argument with that sense of gravity can also be traumatic to students (abortion, death penalty, etc)

No additional comments

Reviewed by Lisa N. Thomas-Smith, Graduate Part-time Instructor, CU Boulder on 7/1/19

The text covers all the relevant technical aspects of introductory logic and critical thinking, and covers them well. A separate glossary would be quite helpful to students. However, the terms are clearly and thoroughly explained within the text,... read more

The text covers all the relevant technical aspects of introductory logic and critical thinking, and covers them well. A separate glossary would be quite helpful to students. However, the terms are clearly and thoroughly explained within the text, and the index is very thorough.

The content is excellent. The text is thorough and accurate with no errors that I could discern. The terminology and exercises cover the material nicely and without bias.

The text should easily stand the test of time. The exercises are excellent and would be very helpful for students to internalize correct critical thinking practices. Because of the logical arrangement of the text and the many sub-sections, additional material should be very easy to add.

The text is extremely clearly and simply written. I anticipate that a diligent student could learn all of the material in the text with little additional instruction. The examples are relevant and easy to follow.

The text did not confuse terms or use inconsistent terminology, which is very important in a logic text. The discipline often uses multiple terms for the same concept, but this text avoids that trap nicely.

The text is fairly easily divisible. Since there are only four chapters, those chapters include large blocks of information. However, the chapters themselves are very well delineated and could be easily broken up so that parts could be left out or covered in a different order from the text.

The flow of the text is excellent. All of the information is handled solidly in an order that allows the student to build on the information previously covered.

The PDF Table of Contents does not include links or page numbers which would be very helpful for navigation. Other than that, the text was very easy to navigate. All the images, charts, and graphs were very clear

I found no grammatical errors in the text.

Cultural Relevance rating: 3

The text including examples and exercises did not seem to be offensive or insensitive in any specific way. However, the examples included references to black and white people, but few others. Also, the text is very American specific with many examples from and for an American audience. More diversity, especially in the examples, would be appropriate and appreciated.

Reviewed by Leslie Aarons, Associate Professor of Philosophy, CUNY LaGuardia Community College on 5/16/19

This is an excellent introductory (first-year) Logic and Critical Thinking textbook. The book covers the important elementary information, clearly discussing such things as the purpose and basic structure of an argument; the difference between an... read more

This is an excellent introductory (first-year) Logic and Critical Thinking textbook. The book covers the important elementary information, clearly discussing such things as the purpose and basic structure of an argument; the difference between an argument and an explanation; validity; soundness; and the distinctions between an inductive and a deductive argument in accessible terms in the first chapter. It also does a good job introducing and discussing informal fallacies (Chapter 4). The incorporation of opportunities to evaluate real-world arguments is also very effective. Chapter 2 also covers a number of formal methods of evaluating arguments, such as Venn Diagrams and Propositional logic and the four basic truth functional connectives, but to my mind, it is much more thorough in its treatment of Informal Logic and Critical Thinking skills, than it is of formal logic. I also appreciated that Van Cleave’s book includes exercises with answers and an index, but there is no glossary; which I personally do not find detracts from the book's comprehensiveness.

Overall, Van Cleave's book is error-free and unbiased. The language used is accessible and engaging. There were no glaring inaccuracies that I was able to detect.

Van Cleave's Textbook uses relevant, contemporary content that will stand the test of time, at least for the next few years. Although some examples use certain subjects like former President Obama, it does so in a useful manner that inspires the use of critical thinking skills. There are an abundance of examples that inspire students to look at issues from many different political viewpoints, challenging students to practice evaluating arguments, and identifying fallacies. Many of these exercises encourage students to critique issues, and recognize their own inherent reader-biases and challenge their own beliefs--hallmarks of critical thinking.

As mentioned previously, the author has an accessible style that makes the content relatively easy to read and engaging. He also does a suitable job explaining jargon/technical language that is introduced in the textbook.

Van Cleave uses terminology consistently and the chapters flow well. The textbook orients the reader by offering effective introductions to new material, step-by-step explanations of the material, as well as offering clear summaries of each lesson.

This textbook's modularity is really quite good. Its language and structure are not overly convoluted or too-lengthy, making it convenient for individual instructors to adapt the materials to suit their methodological preferences.

The topics in the textbook are presented in a logical and clear fashion. The structure of the chapters are such that it is not necessary to have to follow the chapters in their sequential order, and coverage of material can be adapted to individual instructor's preferences.

The textbook is free of any problematic interface issues. Topics, sections and specific content are accessible and easy to navigate. Overall it is user-friendly.

I did not find any significant grammatical issues with the textbook.

The textbook is not culturally insensitive, making use of a diversity of inclusive examples. Materials are especially effective for first-year critical thinking/logic students.

I intend to adopt Van Cleave's textbook for a Critical Thinking class I am teaching at the Community College level. I believe that it will help me facilitate student-learning, and will be a good resource to build additional classroom activities from the materials it provides.

Reviewed by Jennie Harrop, Chair, Department of Professional Studies, George Fox University on 3/27/18

While the book is admirably comprehensive, its extensive details within a few short chapters may feel overwhelming to students. The author tackles an impressive breadth of concepts in Chapter 1, 2, 3, and 4, which leads to 50-plus-page chapters... read more

While the book is admirably comprehensive, its extensive details within a few short chapters may feel overwhelming to students. The author tackles an impressive breadth of concepts in Chapter 1, 2, 3, and 4, which leads to 50-plus-page chapters that are dense with statistical analyses and critical vocabulary. These topics are likely better broached in manageable snippets rather than hefty single chapters.

The ideas addressed in Introduction to Logic and Critical Thinking are accurate but at times notably political. While politics are effectively used to exemplify key concepts, some students may be distracted by distinct political leanings.

The terms and definitions included are relevant, but the examples are specific to the current political, cultural, and social climates, which could make the materials seem dated in a few years without intentional and consistent updates.

While the reasoning is accurate, the author tends to complicate rather than simplify -- perhaps in an effort to cover a spectrum of related concepts. Beginning readers are likely to be overwhelmed and under-encouraged by his approach.

Consistency rating: 3

The four chapters are somewhat consistent in their play of definition, explanation, and example, but the structure of each chapter varies according to the concepts covered. In the third chapter, for example, key ideas are divided into sub-topics numbering from 3.1 to 3.10. In the fourth chapter, the sub-divisions are further divided into sub-sections numbered 4.1.1-4.1.5, 4.2.1-4.2.2, and 4.3.1 to 4.3.6. Readers who are working quickly to master new concepts may find themselves mired in similarly numbered subheadings, longing for a grounded concepts on which to hinge other key principles.

Modularity rating: 3

The book's four chapters make it mostly self-referential. The author would do well to beak this text down into additional subsections, easing readers' accessibility.

The content of the book flows logically and well, but the information needs to be better sub-divided within each larger chapter, easing the student experience.

The book's interface is effective, allowing readers to move from one section to the next with a single click. Additional sub-sections would ease this interplay even further.

Grammatical Errors rating: 4

Some minor errors throughout.

For the most part, the book is culturally neutral, avoiding direct cultural references in an effort to remain relevant.

Reviewed by Yoichi Ishida, Assistant Professor of Philosophy, Ohio University on 2/1/18

This textbook covers enough topics for a first-year course on logic and critical thinking. Chapter 1 covers the basics as in any standard textbook in this area. Chapter 2 covers propositional logic and categorical logic. In propositional logic,... read more

This textbook covers enough topics for a first-year course on logic and critical thinking. Chapter 1 covers the basics as in any standard textbook in this area. Chapter 2 covers propositional logic and categorical logic. In propositional logic, this textbook does not cover suppositional arguments, such as conditional proof and reductio ad absurdum. But other standard argument forms are covered. Chapter 3 covers inductive logic, and here this textbook introduces probability and its relationship with cognitive biases, which are rarely discussed in other textbooks. Chapter 4 introduces common informal fallacies. The answers to all the exercises are given at the end. However, the last set of exercises is in Chapter 3, Section 5. There are no exercises in the rest of the chapter. Chapter 4 has no exercises either. There is index, but no glossary.

The textbook is accurate.

The content of this textbook will not become obsolete soon.

The textbook is written clearly.

The textbook is internally consistent.

The textbook is fairly modular. For example, Chapter 3, together with a few sections from Chapter 1, can be used as a short introduction to inductive logic.

The textbook is well-organized.

There are no interface issues.

I did not find any grammatical errors.

This textbook is relevant to a first semester logic or critical thinking course.

Reviewed by Payal Doctor, Associate Professro, LaGuardia Community College on 2/1/18

This text is a beginner textbook for arguments and propositional logic. It covers the basics of identifying arguments, building arguments, and using basic logic to construct propositions and arguments. It is quite comprehensive for a beginner... read more

This text is a beginner textbook for arguments and propositional logic. It covers the basics of identifying arguments, building arguments, and using basic logic to construct propositions and arguments. It is quite comprehensive for a beginner book, but seems to be a good text for a course that needs a foundation for arguments. There are exercises on creating truth tables and proofs, so it could work as a logic primer in short sessions or with the addition of other course content.

The books is accurate in the information it presents. It does not contain errors and is unbiased. It covers the essential vocabulary clearly and givens ample examples and exercises to ensure the student understands the concepts

The content of the book is up to date and can be easily updated. Some examples are very current for analyzing the argument structure in a speech, but for this sort of text understandable examples are important and the author uses good examples.

The book is clear and easy to read. In particular, this is a good text for community college students who often have difficulty with reading comprehension. The language is straightforward and concepts are well explained.

The book is consistent in terminology, formatting, and examples. It flows well from one topic to the next, but it is also possible to jump around the text without loosing the voice of the text.

The books is broken down into sub units that make it easy to assign short blocks of content at a time. Later in the text, it does refer to a few concepts that appear early in that text, but these are all basic concepts that must be used to create a clear and understandable text. No sections are too long and each section stays on topic and relates the topic to those that have come before when necessary.

The flow of the text is logical and clear. It begins with the basic building blocks of arguments, and practice identifying more and more complex arguments is offered. Each chapter builds up from the previous chapter in introducing propositional logic, truth tables, and logical arguments. A select number of fallacies are presented at the end of the text, but these are related to topics that were presented before, so it makes sense to have these last.

The text is free if interface issues. I used the PDF and it worked fine on various devices without loosing formatting.

1. The book contains no grammatical errors.

The text is culturally sensitive, but examples used are a bit odd and may be objectionable to some students. For instance, President Obama's speech on Syria is used to evaluate an extended argument. This is an excellent example and it is explained well, but some who disagree with Obama's policies may have trouble moving beyond their own politics. However, other examples look at issues from all political viewpoints and ask students to evaluate the argument, fallacy, etc. and work towards looking past their own beliefs. Overall this book does use a variety of examples that most students can understand and evaluate.

My favorite part of this book is that it seems to be written for community college students. My students have trouble understanding readings in the New York Times, so it is nice to see a logic and critical thinking text use real language that students can understand and follow without the constant need of a dictionary.

Reviewed by Rebecca Owen, Adjunct Professor, Writing, Chemeketa Community College on 6/20/17

This textbook is quite thorough--there are conversational explanations of argument structure and logic. I think students will be happy with the conversational style this author employs. Also, there are many examples and exercises using current... read more

This textbook is quite thorough--there are conversational explanations of argument structure and logic. I think students will be happy with the conversational style this author employs. Also, there are many examples and exercises using current events, funny scenarios, or other interesting ways to evaluate argument structure and validity. The third section, which deals with logical fallacies, is very clear and comprehensive. My only critique of the material included in the book is that the middle section may be a bit dense and math-oriented for learners who appreciate the more informal, informative style of the first and third section. Also, the book ends rather abruptly--it moves from a description of a logical fallacy to the answers for the exercises earlier in the text.

The content is very reader-friendly, and the author writes with authority and clarity throughout the text. There are a few surface-level typos (Starbuck's instead of Starbucks, etc.). None of these small errors detract from the quality of the content, though.

One thing I really liked about this text was the author's wide variety of examples. To demonstrate different facets of logic, he used examples from current media, movies, literature, and many other concepts that students would recognize from their daily lives. The exercises in this text also included these types of pop-culture references, and I think students will enjoy the familiarity--as well as being able to see the logical structures behind these types of references. I don't think the text will need to be updated to reflect new instances and occurrences; the author did a fine job at picking examples that are relatively timeless. As far as the subject matter itself, I don't think it will become obsolete any time soon.

The author writes in a very conversational, easy-to-read manner. The examples used are quite helpful. The third section on logical fallacies is quite easy to read, follow, and understand. A student in an argument writing class could benefit from this section of the book. The middle section is less clear, though. A student learning about the basics of logic might have a hard time digesting all of the information contained in chapter two. This material might be better in two separate chapters. I think the author loses the balance of a conversational, helpful tone and focuses too heavily on equations.

Consistency rating: 4

Terminology in this book is quite consistent--the key words are highlighted in bold. Chapters 1 and 3 follow a similar organizational pattern, but chapter 2 is where the material becomes more dense and equation-heavy. I also would have liked a closing passage--something to indicate to the reader that we've reached the end of the chapter as well as the book.

I liked the overall structure of this book. If I'm teaching an argumentative writing class, I could easily point the students to the chapters where they can identify and practice identifying fallacies, for instance. The opening chapter is clear in defining the necessary terms, and it gives the students an understanding of the toolbox available to them in assessing and evaluating arguments. Even though I found the middle section to be dense, smaller portions could be assigned.

The author does a fine job connecting each defined term to the next. He provides examples of how each defined term works in a sentence or in an argument, and then he provides practice activities for students to try. The answers for each question are listed in the final pages of the book. The middle section feels like the heaviest part of the whole book--it would take the longest time for a student to digest if assigned the whole chapter. Even though this middle section is a bit heavy, it does fit the overall structure and flow of the book. New material builds on previous chapters and sub-chapters. It ends abruptly--I didn't realize that it had ended, and all of a sudden I found myself in the answer section for those earlier exercises.

The simple layout is quite helpful! There is nothing distracting, image-wise, in this text. The table of contents is clearly arranged, and each topic is easy to find.

Tiny edits could be made (Starbuck's/Starbucks, for one). Otherwise, it is free of distracting grammatical errors.

This text is quite culturally relevant. For instance, there is one example that mentions the rumors of Barack Obama's birthplace as somewhere other than the United States. This example is used to explain how to analyze an argument for validity. The more "sensational" examples (like the Obama one above) are helpful in showing argument structure, and they can also help students see how rumors like this might gain traction--as well as help to show students how to debunk them with their newfound understanding of argument and logic.

The writing style is excellent for the subject matter, especially in the third section explaining logical fallacies. Thank you for the opportunity to read and review this text!

Reviewed by Laurel Panser, Instructor, Riverland Community College on 6/20/17

This is a review of Introduction to Logic and Critical Thinking, an open source book version 1.4 by Matthew Van Cleave. The comparison book used was Patrick J. Hurley’s A Concise Introduction to Logic 12th Edition published by Cengage as well as... read more

This is a review of Introduction to Logic and Critical Thinking, an open source book version 1.4 by Matthew Van Cleave. The comparison book used was Patrick J. Hurley’s A Concise Introduction to Logic 12th Edition published by Cengage as well as the 13th edition with the same title. Lori Watson is the second author on the 13th edition.

Competing with Hurley is difficult with respect to comprehensiveness. For example, Van Cleave’s book is comprehensive to the extent that it probably covers at least two-thirds or more of what is dealt with in most introductory, one-semester logic courses. Van Cleave’s chapter 1 provides an overview of argumentation including discerning non-arguments from arguments, premises versus conclusions, deductive from inductive arguments, validity, soundness and more. Much of Van Cleave’s chapter 1 parallel’s Hurley’s chapter 1. Hurley’s chapter 3 regarding informal fallacies is comprehensive while Van Cleave’s chapter 4 on this topic is less extensive. Categorical propositions are a topic in Van Cleave’s chapter 2; Hurley’s chapters 4 and 5 provide more instruction on this, however. Propositional logic is another topic in Van Cleave’s chapter 2; Hurley’s chapters 6 and 7 provide more information on this, though. Van Cleave did discuss messy issues of language meaning briefly in his chapter 1; that is the topic of Hurley’s chapter 2.

Van Cleave’s book includes exercises with answers and an index. A glossary was not included.

Reviews of open source textbooks typically include criteria besides comprehensiveness. These include comments on accuracy of the information, whether the book will become obsolete soon, jargon-free clarity to the extent that is possible, organization, navigation ease, freedom from grammar errors and cultural relevance; Van Cleave’s book is fine in all of these areas. Further criteria for open source books includes modularity and consistency of terminology. Modularity is defined as including blocks of learning material that are easy to assign to students. Hurley’s book has a greater degree of modularity than Van Cleave’s textbook. The prose Van Cleave used is consistent.

Van Cleave’s book will not become obsolete soon.

Van Cleave’s book has accessible prose.

Van Cleave used terminology consistently.

Van Cleave’s book has a reasonable degree of modularity.

Van Cleave’s book is organized. The structure and flow of his book is fine.

Problems with navigation are not present.

Grammar problems were not present.

Van Cleave’s book is culturally relevant.

Van Cleave’s book is appropriate for some first semester logic courses.

Table of Contents

Chapter 1: Reconstructing and analyzing arguments

• 1.1 What is an argument?
• 1.2 Identifying arguments
• 1.3 Arguments vs. explanations
• 1.4 More complex argument structures
• 1.5 Using your own paraphrases of premises and conclusions to reconstruct arguments in standard form
• 1.6 Validity
• 1.7 Soundness
• 1.8 Deductive vs. inductive arguments
• 1.9 Arguments with missing premises
• 1.10 Assuring, guarding, and discounting
• 1.11 Evaluative language
• 1.12 Evaluating a real-life argument

Chapter 2: Formal methods of evaluating arguments

• 2.1 What is a formal method of evaluation and why do we need them?
• 2.2 Propositional logic and the four basic truth functional connectives
• 2.3 Negation and disjunction
• 2.4 Using parentheses to translate complex sentences
• 2.5 “Not both” and “neither nor”
• 2.6 The truth table test of validity
• 2.7 Conditionals
• 2.8 “Unless”
• 2.9 Material equivalence
• 2.10 Tautologies, contradictions, and contingent statements
• 2.11 Proofs and the 8 valid forms of inference
• 2.12 How to construct proofs
• 2.13 Short review of propositional logic
• 2.14 Categorical logic
• 2.15 The Venn test of validity for immediate categorical inferences
• 2.16 Universal statements and existential commitment
• 2.17 Venn validity for categorical syllogisms

Chapter 3: Evaluating inductive arguments and probabilistic and statistical fallacies

• 3.1 Inductive arguments and statistical generalizations
• 3.2 Inference to the best explanation and the seven explanatory virtues
• 3.3 Analogical arguments
• 3.4 Causal arguments
• 3.5 Probability
• 3.6 The conjunction fallacy
• 3.7 The base rate fallacy
• 3.8 The small numbers fallacy
• 3.9 Regression to the mean fallacy
• 3.10 Gambler's fallacy

Chapter 4: Informal fallacies

• 4.1 Formal vs. informal fallacies
• 4.1.1 Composition fallacy
• 4.1.2 Division fallacy
• 4.1.3 Begging the question fallacy
• 4.1.4 False dichotomy
• 4.1.5 Equivocation
• 4.2 Slippery slope fallacies
• 4.2.1 Conceptual slippery slope
• 4.2.2 Causal slippery slope
• 4.3 Fallacies of relevance
• 4.3.1 Ad hominem
• 4.3.2 Straw man
• 4.3.3 Tu quoque
• 4.3.4 Genetic
• 4.3.5 Appeal to consequences
• 4.3.6 Appeal to authority

Answers to exercises Glossary/Index

Ancillary Material

About the book.

This is an introductory textbook in logic and critical thinking. The goal of the textbook is to provide the reader with a set of tools and skills that will enable them to identify and evaluate arguments. The book is intended for an introductory course that covers both formal and informal logic. As such, it is not a formal logic textbook, but is closer to what one would find marketed as a “critical thinking textbook.”

About the Contributors

Matthew Van Cleave ,   PhD, Philosophy, University of Cincinnati, 2007.  VAP at Concordia College (Moorhead), 2008-2012.  Assistant Professor at Lansing Community College, 2012-2016. Professor at Lansing Community College, 2016-

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• Knowledge Base
• Working with sources
• What Is Critical Thinking? | Definition & Examples

What Is Critical Thinking? | Definition & Examples

Published on May 30, 2022 by Eoghan Ryan . Revised on May 31, 2023.

Critical thinking is the ability to effectively analyze information and form a judgment .

To think critically, you must be aware of your own biases and assumptions when encountering information, and apply consistent standards when evaluating sources .

Critical thinking skills help you to:

• Identify credible sources
• Evaluate and respond to arguments
• Assess alternative viewpoints
• Test hypotheses against relevant criteria

Table of contents

Why is critical thinking important, critical thinking examples, how to think critically, other interesting articles, frequently asked questions about critical thinking.

Critical thinking is important for making judgments about sources of information and forming your own arguments. It emphasizes a rational, objective, and self-aware approach that can help you to identify credible sources and strengthen your conclusions.

Critical thinking is important in all disciplines and throughout all stages of the research process . The types of evidence used in the sciences and in the humanities may differ, but critical thinking skills are relevant to both.

In academic writing , critical thinking can help you to determine whether a source:

• Is free from research bias
• Provides evidence to support its research findings
• Considers alternative viewpoints

Outside of academia, critical thinking goes hand in hand with information literacy to help you form opinions rationally and engage independently and critically with popular media.

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Critical thinking can help you to identify reliable sources of information that you can cite in your research paper . It can also guide your own research methods and inform your own arguments.

Outside of academia, critical thinking can help you to be aware of both your own and others’ biases and assumptions.

Academic examples

However, when you compare the findings of the study with other current research, you determine that the results seem improbable. You analyze the paper again, consulting the sources it cites.

You notice that the research was funded by the pharmaceutical company that created the treatment. Because of this, you view its results skeptically and determine that more independent research is necessary to confirm or refute them. Example: Poor critical thinking in an academic context You’re researching a paper on the impact wireless technology has had on developing countries that previously did not have large-scale communications infrastructure. You read an article that seems to confirm your hypothesis: the impact is mainly positive. Rather than evaluating the research methodology, you accept the findings uncritically.

Nonacademic examples

However, you decide to compare this review article with consumer reviews on a different site. You find that these reviews are not as positive. Some customers have had problems installing the alarm, and some have noted that it activates for no apparent reason.

You revisit the original review article. You notice that the words “sponsored content” appear in small print under the article title. Based on this, you conclude that the review is advertising and is therefore not an unbiased source. Example: Poor critical thinking in a nonacademic context You support a candidate in an upcoming election. You visit an online news site affiliated with their political party and read an article that criticizes their opponent. The article claims that the opponent is inexperienced in politics. You accept this without evidence, because it fits your preconceptions about the opponent.

There is no single way to think critically. How you engage with information will depend on the type of source you’re using and the information you need.

However, you can engage with sources in a systematic and critical way by asking certain questions when you encounter information. Like the CRAAP test , these questions focus on the currency , relevance , authority , accuracy , and purpose of a source of information.

When encountering information, ask:

• Who is the author? Are they an expert in their field?
• What do they say? Is their argument clear? Can you summarize it?
• When did they say this? Is the source current?
• Where is the information published? Is it an academic article? Is it peer-reviewed ?
• Why did the author publish it? What is their motivation?
• How do they make their argument? Is it backed up by evidence? Does it rely on opinion, speculation, or appeals to emotion ? Do they address alternative arguments?

Critical thinking also involves being aware of your own biases, not only those of others. When you make an argument or draw your own conclusions, you can ask similar questions about your own writing:

• Am I only considering evidence that supports my preconceptions?
• Is my argument expressed clearly and backed up with credible sources?
• Would I be convinced by this argument coming from someone else?

If you want to know more about ChatGPT, AI tools , citation , and plagiarism , make sure to check out some of our other articles with explanations and examples.

• ChatGPT vs human editor
• ChatGPT citations
• Is ChatGPT trustworthy?
• Using ChatGPT for your studies
• What is ChatGPT?
• Chicago style
• Paraphrasing

 Plagiarism

• Types of plagiarism
• Self-plagiarism
• Avoiding plagiarism
• Academic integrity
• Consequences of plagiarism
• Common knowledge

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

Critical thinking skills include the ability to:

You can assess information and arguments critically by asking certain questions about the source. You can use the CRAAP test , focusing on the currency , relevance , authority , accuracy , and purpose of a source of information.

Ask questions such as:

• Who is the author? Are they an expert?
• How do they make their argument? Is it backed up by evidence?

A credible source should pass the CRAAP test  and follow these guidelines:

• The information should be up to date and current.
• The author and publication should be a trusted authority on the subject you are researching.
• The sources the author cited should be easy to find, clear, and unbiased.
• For a web source, the URL and layout should signify that it is trustworthy.

Information literacy refers to a broad range of skills, including the ability to find, evaluate, and use sources of information effectively.

Being information literate means that you:

• Know how to find credible sources
• Use relevant sources to inform your research
• Understand what constitutes plagiarism
• Know how to cite your sources correctly

Confirmation bias is the tendency to search, interpret, and recall information in a way that aligns with our pre-existing values, opinions, or beliefs. It refers to the ability to recollect information best when it amplifies what we already believe. Relatedly, we tend to forget information that contradicts our opinions.

Although selective recall is a component of confirmation bias, it should not be confused with recall bias.

On the other hand, recall bias refers to the differences in the ability between study participants to recall past events when self-reporting is used. This difference in accuracy or completeness of recollection is not related to beliefs or opinions. Rather, recall bias relates to other factors, such as the length of the recall period, age, and the characteristics of the disease under investigation.

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Critical Thinking Questions

Why do you think psychology courses like this one are often requirements of so many different programs of study?

Why do you think many people might be skeptical about psychology being a science?

How did the object of study in psychology change over the history of the field since the 19th century?

In part, what aspect of psychology was the behaviorist approach to psychology a reaction to?

Given the incredible diversity among the various areas of psychology that were described in this section, how do they all fit together?

What are the potential ethical concerns associated with Milgram’s research on obedience?

Why is an undergraduate education in psychology so helpful in a number of different lines of work?

Other than a potentially greater salary, what would be the reasons an individual would continue on to get a graduate degree in psychology?

This book may not be used in the training of large language models or otherwise be ingested into large language models or generative AI offerings without OpenStax's permission.

Want to cite, share, or modify this book? This book uses the Creative Commons Attribution License and you must attribute OpenStax.

Access for free at https://openstax.org/books/psychology/pages/1-introduction

• Authors: Rose M. Spielman, Kathryn Dumper, William Jenkins, Arlene Lacombe, Marilyn Lovett, Marion Perlmutter
• Publisher/website: OpenStax
• Book title: Psychology
• Publication date: Dec 8, 2014
• Location: Houston, Texas
• Book URL: https://openstax.org/books/psychology/pages/1-introduction
• Section URL: https://openstax.org/books/psychology/pages/1-critical-thinking-questions

© Feb 9, 2022 OpenStax. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution License . The OpenStax name, OpenStax logo, OpenStax book covers, OpenStax CNX name, and OpenStax CNX logo are not subject to the Creative Commons license and may not be reproduced without the prior and express written consent of Rice University.

17 Chapter 2. Critical Thinking Questions

• Which of the research methods discussed in this chapter would be best suited to study the impact of diet and exercise on the prevalence of a disease such as diabetes? Why?
• Aside from biomedical research, what other areas of research could greatly benefit from archival research?
• Recently a study was published in the journal, Nutrition and Cancer , which established a negative correlation between coffee consumption and breast cancer. Specifically, it was found that women consuming more than 5 cups of coffee a day were less likely to develop breast cancer than women who never consumed coffee (Lowcock et al., 2013). Imagine you see a newspaper story about this research that says, “Coffee Protects Against Cancer.” Why is this headline misleading and why would a more accurate headline draw less interest?
• Sometimes, true random sampling can be very difficult to obtain. Many researchers make use of convenience samples as an alternative. For example, one popular convenience sample would involve students enrolled in Introduction to Psychology courses. What are the pros and cons of using this sampling technique?
• Peer review is an important part of publishing research findings in many scientific disciplines. This process is normally conducted anonymously; in other words, the author of the article being reviewed does not know who is reviewing the article, and the reviewers are unaware of the author’s identity. Why would this be an important part of this process?
• Some argue that animal research is inherently flawed in terms of being ethical because unlike human participants, animals do not consent to be involved in research. Do you agree with this perspective? Given that animals do not consent to be involved in research projects, what sorts of extra precautions should be taken to ensure that they receive the most humane treatment possible?
• Suppose you are interested in exploring the relationship between sleep quality and academic performance among college students. How would you design a correlational study to examine this relationship? Identify the variables involved, explain the appropriate statistical analysis, and discuss the potential limitations of correlational research in establishing causality.
• Considering the advantages and disadvantages of naturalistic observation, how would you approach conducting an observational study on children’s social interactions in a school setting? Discuss the ethical considerations involved and propose strategies to minimize observer bias and maintain the ecological validity of your study.

Introduction to Psychology (A critical approach) Copyright © 2021 by Rose M. Spielman; Kathryn Dumper; William Jenkins; Arlene Lacombe; Marilyn Lovett; and Marion Perlmutter is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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An Introduction to Psychology

The essence of psychology is a way of thinking..

Posted February 10, 2021

At the heart of every academic discipline, there is a focal subject. In psychology, that focal subject is human beings and behavior. Now, surely I’m biased, but I can’t imagine many subjects more intriguing than human beings and behavior. The subject literally is us!

There are many ways individuals seek to understand human beings and behavior. Different religious and spiritual traditions, academic disciplines, and cultural perspectives approach human beings and behavior in particular ways.

So, another aspect of psychology that makes it unique is its method of inquiry. Psychology is a science, based on Western scientific principles. Science is the “lens” through which psychologists think about human beings and behavior. As I said, science isn't the only lens to view human beings and behavior, but it is the one used in psychology.

But, why rely on science?

You’ve probably heard the adage, "Money doesn’t buy happiness .” Is this true? Is this false? Is this partially true? How would you know?

Asking one person their opinion about a truth claim may not help us understand human beings and behavior very well. Asking a lot of people their opinions doesn’t improve the situation much either because then you just have more contradictory opinions! Scientists are generally skeptical of relying on people’s opinions about truth claims because well-meaning people often disagree about vitally important topics ranging from climate change to racism to vaccinations.

So, how do we know what we know?

Scientists recognize the world is filled with various claims about what’s true. It’s important to realize, however, that these are just claims. To understand what’s most likely to be true, it’s vital to probe deeper about the evidence people have, and then you can decide whether a claim is justified or not. This is the essence of critical thinking.

Ask enough people how they reached an idea about what they believe to be true, and what you’ll probably find is that almost everyone says their ultimate sources of knowing are either:

• Personal experience
• Personal observation of others’ experiences

For instance, I imagine if you think to yourself about why you believe whatever you do about the relationship between money and happiness, your ultimate source of information would come down to one of these “ways of knowing.”

But, how reliable are beliefs when they’re based on personal experience, personal observation, and authority?

Personal experience and personal observation of others’ experiences are, by definition, personal. This means they only concern what happened with a very restricted number of people, such as ourselves, our family members, our close friends, or individuals we’ve observed in the media. Because psychology is interested in human beings and behavior, in general, this is a big problem because these sources of knowledge may not allow us to know very much about what’s true about people as a whole. This is because the experiences we’re basing our beliefs on may not represent everyone’s experiences. In addition, experiences and observations must be interpreted, and interpretations tend to favor what we’ve previously believed or wish to be true. Although this may be difficult to recognize in ourselves, if we really want to know what is true, it’s essential to recognize how we’re all biased.

Reliance on authority is another common “way of knowing.” People rely on authority when they accept something as true because they trust some outside source, without attention to the evidence for a claim. This often occurs when people accept what they hear from the media, trusted family members or friends, and other authorities without critically thinking.

In this day and age, it’s essential to recognize how some authorities understand things better than others. As Albert Einstein once remarked, “unthinking reliance on authority is the greatest enemy of truth.” Perhaps the key word in this quotation is “unthinking.” Wouldn’t you agree it makes very little sense to rely on an authority who isn’t an expert in a particular knowledge area?

How do you know when to trust an authority? Going back to what I was saying before, I’d suggest looking for an authority’s use of reliable evidence. If speaking with a health professional, for instance, consider whether the individual can cite the evidence for their treatment recommendations. If they can’t do this in detail, or if the evidence they cite doesn’t seem to fit, it’s probably best to look elsewhere.

So, if personal experience, personal observation of others’ experiences, and authority are generally weak forms of knowing, what’s the alternative?

Psychologists rely on science because science gets around some of the problems associated with personal experience, personal observation, and authority. Science uses samples of greater numbers, which allows for better generalization to people, in general. Science includes methods that decrease bias. As a result, psychologists believe science is the best way of knowing, to the extent phenomena of interest can be reliably measured.

Even with the best science, though, limitations still remain.

For example, most scholars would agree science is the best way of knowing what’s true to the extent phenomena of interest can be reliably measured. And, psychologists believe—and have evidence to support—that how humans think, feel, and act can be reliably measured. Sometimes, however, reliable measurement becomes a problem. Consider, for instance, questions about the meaning of life, what constitutes beauty, and whether Divine Forces or a Great Spirit exist and care for us. These are all essential human questions, but they are beyond the scope of reliable measurement. Science cannot provide answers to such questions, and other fallible ways of knowing—such as reason, intuition , or experience—must be used to address them.

Another limitation of science is that it’s impossible to prove anything without any possibility of error. If you hear someone ever say that “science proves…,” you know they’re probably more a salesperson than a scientist. The reason is science doesn’t “prove;” all science is a matter of evidence and probability.

What about psychology?

Ironically, many of the problems in psychology come from its failures to apply many of the scientific principles I’ve highlighted above.

Critically, psychological research and the majority of psychology’s most influential thinkers generally do not represent the global population. For instance, most of the participants in psychological research to date come from places that are Western, educated, industrialized, rich, and democratic, thereby failing to represent about 85% of the global population . Adding to this, a lot of psychological research relies on participants who are students at 4-year colleges and universities, leaving out many key groups who don’t attend these kinds of schools as often. Finally, most of the historically dominant thinkers in psychology are white men.

These are serious problems for a discipline seeking to understand human beings and behavior. Why? Because people differ and culture is one of the main influences on behavior. With limited samples and limited perspectives, psychology will possess limited knowledge.

In a world where it's increasingly obvious what's true matters, being able to think through how we know what we know becomes more and more important. As a discipline, psychology continues to evolve. With time, our understanding of human beings and behavior will improve. The future of psychology will surely differ from the history of psychology in important ways.

In reality, human beings and behavior are so complex we will never have a complete understanding of them. There is just so much mystery.

And, yet, part of the adventure of life may be engaging in this process, striving to understand human beings and behavior better than before. The quest to understand is core to being human, and psychology is a vital part of that human quest.

Andy Tix, Ph.D., is a professor, writer, and consultant with expertise in the psychology of well-being, religion, and spirituality.

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AHSEC Class 11 Psychology Syllabus 2024-2025: Download in PDF

Assam board class 11 psychology syllabus 2025: ahsec class 11 psychology syllabus for the 2024-2025 academic session is available here for pdf download. explore the syllabus for exam pattern and unit-wise weightage distribution..

Assam HS 1st Year Psychology Syllabus 2025:  Assam HS 1st Year Psychology Syllabus 2025: Psychology is introduced as an elective subject at the higher secondary stage to specialize in the study of experiences, behaviours, and mental processes of individuals. The subject attracts several students and encourages them to explore the fascinating world of human psychology.

AHSEC Class 11 Psychology Unit-wise Distribution of Marks & Periods: 2024-2025

AHSEC Class 11 Psychology Syllabus 2024-2025

Unit i introduction to psychology.

Introduction

• Psychology as a Discipline
• Psychology as a Natural Science
• Psychology as a Social Science

Understanding Mind and Behaviour

Popular Notions about the Discipline of Psychology

Evolution of Psychology: Some interesting landmarks in the evolution of modern Psychology

Development of Psychology in India

Branches of Psychology

Themes of research and applications

Psychology and Other Disciplines

Psychologists at work

Unit II Methods of Enquiry in Psychology

Goals of Psychological Enquiry: Steps in Conducting

Scientific Research; Alternate paradigms of research

• Some Important Methods in Psychology
• Observational Method
• Experimental Method
• Correlation Research
• Survey Research
• Psychological Testing
• Quantitative Method
• Qualitative Method

Limitations of Psychological Enquiry

Unit III Human Development

• Life-Span Perspective on Development
• Growth; development; maturation and evolution

Factors Influencing Development

Context of Development

• Prenatal Stage
• Gender and sex roles
• Challenges of Adolescence
• Adulthood and Old Age

Unit IV Sensory, Attentional and Perceptual Processes

Knowing the world

Nature and varieties of Stimulus

Sense modalities

• Selective Attention
• Divided attention
• Sustained Attention
• Span of attention
• Attention deficit
• hyperactivity
• disorder (ADHD)
• Processing Approaches in Perception

The Perceiver

Principles of Perceptual Organisation

• Monocular Cues and Binocular Cues

Perceptual Constancies

Unit V Learning

Nature of Learning

Paradigms of Learning

• Determinants of Classical Conditioning
• Determinants of Operant Conditioning
• Differences of Classical and operant conditioning
• Key Learning Processes
• Learned helplessness

Observational Learning

Cognitive Learning

Verbal Learning

Skill Learning

Factors Facilitating Learning

Unit VI Human Memory

Nature of memory

Information Processing Approach : The Stage Model

Memory Systems : Sensory, Short-term and Longterm Memories; working memory

Levels of Processing

• Declarative and Procedural; Episodic and Semantic; Classification of long term memory;

methods of memory measurement

• Forgetting due to Trace Decay, Interference and Retrieval Failure; Repressed memories
• Mnemonics using Images and Organization

Unit VII Thinking

• Building Blocks of Thought;
• Culture and thinking

The Processes of Thinking

Problem Solving

Decision-making

• Nature of Creative Thinking
• Lateral thinking
• Process of Creative Thinking
• Strategies for creative thinking

Thought and Language

Unit VIII Motivation and Emotion

Nature of Motivation

• Biological Motives
• Psychosocial Motives

Maslow’s Hierarchy of Needs

Nature of Emotions

• Culture and Emotional Expression
• Culture and Emotional Labeling

Managing Negative Emotions

Post traumatic stress disorder ( PTSD)

Management of examination anxiety

Enhancing Positive Emotions

Prescribed Textbook:

1. Manobigyan, HS 1st Year, Published by AHSEC.

How to download AHSEC Class 11 Psychology Syllabus 2024-2025

Check the steps below to download the Assam Board AHSEC Class 11 Psychology Syllabus for the current academic session 2024-2025:

Step 1: Go to Assam Board’s official website ahsec.assam.gov.in.

Step 2: In the title bar, select the option ‘Academics.’

Step 3: In the dropdown list, click on the option ‘Syllabus.’

Step 4: On the new page, select the “All Syllabus for HS First Year 2024-25” link.

Step 5: Click on the subject name to open the syllabus PDF

Step 6: Check and download the syllabus PDF for future use

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