Lecture 24 - Overview (4/4): Procedures for non normal distributions and non linear models
4:13
Lecture 24 - Overview (4/4): Procedures for non normal distributions and non linear models
Lecture 24 - Overview (3/4): Group comparisons t tests and ANOVA
5:53
Lecture 24 - Overview (3/4): Group comparisons t tests and ANOVA
Lecture 24 - Overview (2/4): Simple and multiple regression
7:43
Lecture 24 - Overview (2/4): Simple and multiple regression
Lecture 24 -Overview (1/4): Research methods and descriptive statistics
5:33
Lecture 24 -Overview (1/4): Research methods and descriptive statistics
Lecture 23 - Generalized Linear Model (2/2): Examples
10:22
Lecture 23 - Generalized Linear Model (2/2): Examples
Lecture 23 - Generealized Linear Model (1/2): Overview
8:33
Lecture 23 - Generealized Linear Model (1/2): Overview
Lectures 22 - Parametric vs. Non-Parametric Statistics (2/2): Examples
14:29
Lectures 22 - Parametric vs. Non-Parametric Statistics (2/2): Examples
Lecture 22 - Parametric vs. Non-Parametric Statistics (1/2)
10:23
Lecture 22 - Parametric vs. Non-Parametric Statistics (1/2)
Lecture 21 - Review (1/2): Assumptions
12:37
Lecture 21 - Review (1/2): Assumptions
Lecture 20 - Logistic Regression (2/2): Example
11:58
Lecture 20 - Logistic Regression (2/2): Example
Lecture 21 - Review (2/2): Transformations
6:38
Lecture 21 - Review (2/2): Transformations
Lecture 20 - Logistic Regression (1/2): Overview
12:16
Lecture 20 - Logistic Regression (1/2): Overview
Lecture 19 - Chi-square (2/2): Chi-square test of independence
10:08
Lecture 19 - Chi-square (2/2): Chi-square test of independence
Lecture 18 - Repeated Measures (1/2): Pros and cons
21:34
Lecture 18 - Repeated Measures (1/2): Pros and cons
Lecture 19 - Chi-square (1/2): Chi-square goodness of fit
11:28
Lecture 19 - Chi-square (1/2): Chi-square goodness of fit
Lecture 18 - Repeated Measures (2/2): ANOVA example
11:37
Lecture 18 - Repeated Measures (2/2): ANOVA example
Lecture 17 - Factorial ANOVA (1/2)
16:38
Lecture 17 - Factorial ANOVA (1/2)
Lecture 17 - Factorial ANOVA (2/2): Example
8:44
Lecture 17 - Factorial ANOVA (2/2): Example
Lecture 16 - Analysis of Variance (ANOVA) (1/2): One way ANOVA
22:18
Lecture 16 - Analysis of Variance (ANOVA) (1/2): One way ANOVA
Lecture 15 - Student's t test (3/3): Independent t tests
18:51
Lecture 15 - Student's t test (3/3): Independent t tests
Lecture 16 - Analysis of Variance (ANOVA) (2/2): Post hoc tests
7:36
Lecture 16 - Analysis of Variance (ANOVA) (2/2): Post hoc tests
Lecture 15 - Student's t test (2/3): Dependent t tests
12:49
Lecture 15 - Student's t test (2/3): Dependent t tests
Lecture 15 - Student's t test (1/3): Introduction
14:13
Lecture 15 - Student's t test (1/3): Introduction
Lecture 14 - Mediation (2/2): Path analysis
14:42
Lecture 14 - Mediation (2/2): Path analysis
Lecture 14 - Mediation (1/2): Standard approach
18:34
Lecture 14 - Mediation (1/2): Standard approach
Lecture 13 - Moderation (1/3): Example 1
27:14
Lecture 13 - Moderation (1/3): Example 1
Lecture 13 - Moderation (2/3): Centering predictors
15:15
Lecture 13 - Moderation (2/3): Centering predictors
Lecture 13 - Moderation (3/3): Example 2
6:45
Lecture 13 - Moderation (3/3): Example 2
Lecture 12 - The General Linear Model (2/2): Dummy coding
12:25
Lecture 12 - The General Linear Model (2/2): Dummy coding
Lecture 12 - The General Linear Model (1/2)
7:56
Lecture 12 - The General Linear Model (1/2)