This course provides a comprehensive exploration of statistical relationships, focusing on the principles and applications of correlation and contingency tables. Students will learn to identify appropriate scenarios for using correlation, understand its logic, and describe its direction and strength. The course also covers the use of contingency tables, teaching students to recognize patterns of association within them.
Measures of Correlation and Contingency
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Measures of Correlation and Contingency
This course is part of Data Exploration in Psychology Specialization
Instructors: Mike Stadler, PhD
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explain the logic of the Pearson correlation and its appropriate uses.
Describe a correlation in terms of direction and strength.
Explain the use of contingency tables to describe patterns of association between variables.
Skills you'll gain
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Recently updated!
September 2024
Assessments
11 assignments
Taught in English
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This course is part of the Data Exploration in Psychology Specialization
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There are 7 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 videos8 readings
This course provides a comprehensive exploration of statistical relationships, focusing on the principles and applications of correlation and contingency tables. Students will learn to identify appropriate scenarios for using correlation, understand its logic, and describe its direction and strength. The course also covers the use of contingency tables, teaching students to recognize patterns of association within them.
What's included
1 video1 reading
What kinds of relationships are there between variables? As you will see in this module, the answer depends on the kinds of variables. How do we envision those relationships? This module explains what we can do with a data set to begin to see the relationship, if any, between two variables? And if there is a relationship, how do we interpret it? This module delves into what we can and cannot conclude when we observe a relationship between two variables.
What's included
4 videos2 readings3 assignments
In this module, we look in more detail at how correlation is used to examine the relationship between two variables, along with how related regression procedures can be used to specifically characterize how the value of one variable can be used to predict the value of the other.
What's included
4 videos2 readings4 assignments
In this module, we look in more detail at how contingency tables are used to examine the relationship between two nominal- or ordinal-level variables, along with some measures of the strength of a contingency relationship.
What's included
2 videos1 reading3 assignments
What's included
2 readings1 assignment
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
Instructors
Offered by
Recommended if you're interested in Data Analysis
American Psychological Association
Duke University
American Psychological Association
Wesleyan University
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Frequently asked questions
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