This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and quantitative research methods along with high school students and professionals with similar interests.
Chi-Square Tests of Hypotheses About Frequency Tables
This course is part of Basic Inferential Statistics for Psychology Specialization
Instructor: Mike Stadler, PhD
Included with
Recommended experience
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
Details to know
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December 2024
18 assignments
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There are 6 modules in this course
This module introduces you to your PsycLearn Essentials course. Find out what’s included in this course and how to navigate the modules and lessons. You’ll also learn valuable study tips for successful learning.
What's included
2 videos9 readings
This module provides a variety of information and tools from the American Psychological Association (APA) that will help inspire you as you complete your coursework and plan your career goals. Get discounted access to Academic Writer, APA’s online tool for writing effectively, as well as valuable advice that will help you develop and strengthen your skillset for learning success and future employment. Additionally, explore resources on various psychological issues. This module also includes APA resources on scholarly research and writing; a list of sites providing valuable resources on diversity, equity, and inclusion in psychology education and in the professional community; resources on a career in psychology; and links to career opportunities at the APA. You can also view videos that offer tips on dealing with stress.
What's included
8 readings
This course will explain when to use a chi-square test and review the two types of chi-square tests that are used for frequency data: the goodness-of-fit test and the test of independence, including when each is appropriate for use as a null hypothesis significance test. The logic of the chi-square statistic will be covered, including the relevant statistical assumptions. The steps to conducting each chi-square test will be explained and activities will present scenarios where each chi-square test can be calculated, including the steps to conducting the test with statistical software. Finally, you will learn about how to interpret effect sizes for chi-square analyses.
What's included
1 video3 readings3 assignments
In this module, we step through the process of using the chi-square goodness-of-fit test.
What's included
3 videos7 readings7 assignments
In this module, we step through the process of using the chi-square test of independence.
What's included
2 videos7 readings7 assignments
What's included
2 readings1 assignment
Instructor
Offered by
Recommended if you're interested in Data Analysis
SkillUp EdTech
University of Amsterdam
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University of Colorado Boulder
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