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This course is part of Basic Inferential Statistics for Psychology Specialization

Instructor: Mike Stadler, PhD

What you'll learn

Explain when to use chi-square analyses, the logic of chi-square analyses, and the assumptions of chi-square analyses.

Conduct a chi-square goodness-of-fit test and a chi-square test of independence.

Analyze effect size for chi-square analyses.

Skills you'll gain

Statistical Hypothesis Testing

Statistical Methods

Research

Psychology

Statistical Analysis

Analytical Skills

Quantitative Research

Probability & Statistics

Statistics

Data Analysis

Statistical Software

There are 6 modules in this course

This course provides a comprehensive understanding of chi-square analyses of contingency tables, including when and how to use them, formulating appropriate hypotheses, and understanding their underlying logic and assumptions. Students will gain practical skills in conducting chi-square goodness-of-fit tests and tests of independence, as well as analyzing effect sizes. Table of Contents: The Frequency Tables and Chi-Square Test The Chi-Square Goodness-of-Fit Test The Chi-Square Test of Independence

PsycLearn Essentials APA Student Resources

Frequency Tables and the Chi-Square Test

The Chi-Square Goodness-of-Fit Test

The Chi-Square Test of Independence

Conclusion

Explore more from Data Analysis

Introduction to Statistical Analysis: Hypothesis Testing

t-Tests of Hypotheses About Means

Measures of Correlation and Contingency

Basic Inferential Statistics for Psychology