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Measures of Correlation and Contingency

Measures of Correlation and Contingency

This course is part of Data Exploration in Psychology Specialization

Instructor: Mike Stadler, PhD

Included with

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7 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 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

Tools you'll learn

Statistical Software

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

11 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Data Exploration in Psychology Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 7 modules in this course

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.

Module details

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

7 readings

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

4 videosTotal 15 minutes

Relationships Between Two Variables4 minutes
Relationships Between Two Categorical Variables 4 minutes
Relationships Between Two Continuous Variables3 minutes
Correlation and Causation4 minutes

2 readingsTotal 10 minutes

Analyzing Data for Correlation and Contingency6 minutes
Interpreting a Relationship Between Variables4 minutes

3 assignmentsTotal 9 minutes

Module Quiz: The Meaning of Correlation and Contingency5 minutes
Check Your Understanding: Relationships Between Variables2 minutes
Check Your Understanding: Interpreting Relationships Between Variables2 minutes

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

4 videosTotal 10 minutes

Guess the Correlation2 minutes
Best Fitting Regression Line3 minutes
Using jamovi to Calculate Correlation Coefficients and Make Scatterplots2 minutes
Using jamovi for Simple Linear Regression2 minutes

2 readingsTotal 21 minutes

A Measure of Correlation11 minutes
Linear Regression Analysis10 minutes

4 assignmentsTotal 18 minutes

Module Quiz: Correlation and Regression5 minutes
Check Your Understanding: The Pearson Correlation Coefficient5 minutes
Check Your Understanding: Bivariate Linear Regression3 minutes
Check Your Understanding: Correlation and Regression in Statistical Software5 minutes

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

2 videosTotal 7 minutes

Setting up a Data Set for Contingency Table Analysis5 minutes
Using jamovi in Contingency Table Analysis2 minutes

1 readingTotal 7 minutes

Degree of Contingency7 minutes

3 assignmentsTotal 13 minutes

Module Quiz: Contingency Table Analysis5 minutes
Check Your Understanding: Strength of a Contingency2 minutes
Check Your Understanding: Contingency Table Analysis in Statistical Software6 minutes

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. Explore APA resources on various psychological issues and 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.