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Measures of Correlation and Contingency

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Measures of Correlation and Contingency

Ce cours fait partie de Spécialisation "Data Exploration in Psychology"

Instructeur : Mike Stadler, PhD

Inclus avec

7 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

3 heures à compléter

Planning flexible

Apprenez à votre propre rythme

7 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

3 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Data Literacy
Catégorie : Analysis
Catégorie : Descriptive Statistics
Catégorie : Correlation Analysis
Catégorie : Statistics
Catégorie : Regression Analysis
Catégorie : Data Analysis
Catégorie : Statistical Analysis
Catégorie : Statistical Methods
Catégorie : Probability & Statistics

Outils que vous découvrirez

Catégorie : Statistical Software

Détails à connaître

Certificat partageable

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Évaluations

11 devoirs

Enseigné en Anglais

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Ce cours fait partie de la Spécialisation "Data Exploration in Psychology"

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Il y a 7 modules dans ce cours

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.

Détails du module

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.

Inclus

7 lectures

Inclus

1 vidéo1 lecture

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.

Inclus

4 vidéos2 lectures3 devoirs

4 vidéosTotal 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 lecturesTotal 10 minutes

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

3 devoirsTotal 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.

Inclus

4 vidéos2 lectures4 devoirs

4 vidéosTotal 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 lecturesTotal 21 minutes

A Measure of Correlation11 minutes
Linear Regression Analysis10 minutes

4 devoirsTotal 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.

Inclus

2 vidéos1 lecture3 devoirs

2 vidéosTotal 7 minutes

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

1 lectureTotal 7 minutes

Degree of Contingency7 minutes

3 devoirsTotal 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

Inclus

2 lectures1 devoir

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.

Inclus

8 lectures

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