IS 296A-4 Seminar on Research Methods: Introduction to Quantitative Methods

Basic Information

Lecture Slides

Assignments

SPSS Tutorial

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Research Method

Week 1: jan 23rd, the elements of research - course introduction.

Reading: None

Week 2: Jan 30th

Research questions: defining and justifying problems; defining hypotheses..

Readings: Problem Formulation

Week 3: Feb 6th

Theory and measurement: causation, validity and reliability..

Reading: The Layman's Guide to Social Research Methods

Assignment 1 distributed

Week 4: Feb 13th

Surveys: asking questions to collect data / data coding..

ASSIGNMENT 1 DUE IN CLASS.

Readings: What is a Survey , Survey Design (skim), Survey Research (skim)

Week 5: Feb 20th

(no class: president's day), week 6: feb 27th, experiments: causal relationships and experimental control..

Reading: The Basics of Experimental Design , Experimental Design (skim, look through the various sections)

Quantitative Methods

Understanding One Variable and the Association Between Two Variables

Week 7: March 6th

Descriptive statistics: probability, distribution, univariate data.

Reading: HyperState Online: Describing Univariate Data

Week 8: March 13th

Bivariate statistics: correlations, t-tests, chi-square..

Reading: The t-Test , Correlation , HyperStat Online: Chi Square

Understanding the Relationship Between Two or More Variables

Week 9: March 20th

Exploratory data analysis (guest lecturer: hal varian).

Reading: TBA

Week 10: March 27th

(no class: spring break), week 11: april 3rd, analysis of variance..

Reading: Conceptual Introduction to the Analysis of Variance

Week 12: April 10th

The general linear model/ linear regression (guest lecturer: hal varian).

ASSIGNMENT 2 DUE IN CLASS.

Week 13: April 17th

Finding data for quantitative data analysis and using it.

Advanced Topics in Quantitative Methods

Week 14: April 24th

Regression for binary outcomes: logistic regression. (guest lecturer: hal varian), week 15: may 1st, course wrap-up and preparation for final projects, week 16: may 8th.

ASSIGNMENT 3: Project Presentations.

IMAGES

  1. What kind of quantitative research is employed if the researcher needs to determine the

    quantitative research methods course syllabus

  2. Course Syllabus.pdf

    quantitative research methods course syllabus

  3. Quantitative Research Methods 2021

    quantitative research methods course syllabus

  4. Quantitative-Methods-Syllabus

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  5. What is Quantitative Research? Definition, Examples, Key Advantages, Methods and Best Practices

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  6. Quantitative Research Methods S21

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VIDEO

  1. Quantitative & research in business imp topics prepare for internals and exam Madras univ dist MBA

  2. Lecture 43: Quantitative Research

  3. What is Quantitative Research

  4. Coursera- Quantitative Methods Quiz Solution- Research Designs- Week 6

  5. أسس أساليب البحث

  6. Research Methodology Syllabus of PhD Entrance Exam

COMMENTS

  1. Syllabus | i271b - Quantitative Research Methods

    Comparing questions with agree/disagree response options to questions with item-specific response options. Survey Research Methods, 4, 61-79. PDF.

  2. Quantitative Methods I - Rutgers University

    This course is designed to prepare students for advanced quantitative methodology courses required of doctoral students. The course begins by reviewing descriptive statistics and data presentation techniques. In preparation for the study of inferential statistics, the next section of the course covers the basic of probability.

  3. Quantitative Research Methods

    January 2023. This sixteen-hour course provides a comprehensive exploration of the scientific method, beginning with a detailed description of its steps, from posing a hypothesis to analyzing and reporting results. Students will learn to judge the quality of sources for literature reviews, ensuring they can discern credible information.

  4. Syllabus 17.802 Quantitative Research Methods II

    Syllabus 17.802 Quantitative Research Methods II. This is the second course in a three-course sequence on quantitative political methodology, by which we mean the application of statistical methods to problems in political science and public policy.

  5. Quantitative Research Methods and Analysis Syllabus

    Indeed, this course demonstrates the ways in which research methods and statistics are related. Upon completion of this course, you should: Understand the logic of scientific explanation, including the relationship between theory and research. Be able to use statistical analyses to answer sociological and criminological research questions.

  6. SPPH 506: Quantitative Research Methods

    This course provides an overview of quantitative research methods, focusing on approaches central to undertaking quantitative studies in the various fields of public health.

  7. Advanced Quantitative Research Methodology, - Gary King

    Inference: Using facts you know to learn about facts you don’t know Specific statistical methods for many research problems How to learn (or create) new methods (Statistical simulation and programming as practical tools) How to write a publishable scholarly paper The syllabus gives an outline instead of a weekly plan.

  8. Advanced Quantitative Methods I (API-209)

    Advanced Quantitative Methods I (API-209) Harvard Kennedy School . Course Syllabus – Fall 2021 Final Version. Key people: The goal of this course is to prepare you to analyze public policy issues using statistics.

  9. Sample Course Syllabus for Research Methods, Data Analysis ...

    The main purpose of the Research Methods, Data Analyisis, and Reporting to Support DoD Security Programs course is to introduce students to quantitative and qualitative methods for conducting meaningful inquiry and research.

  10. IS 296A-4: Introduction to Quantitative Methods

    Quantitative Methods. Understanding One Variable and the Association Between Two Variables. Week 7: March 6th. Descriptive Statistics: Probability, Distribution, Univariate Data. Reading: HyperState Online: Describing Univariate Data. Week 8: March 13th. Bivariate Statistics: Correlations, t-Tests, Chi-Square.