Note: The SPSS data files for the entire course are located here.

In this lecture, the one-way between subjects ANOVA is covered.

Learning Tip: The one-way between subjects ANOVA may be used when 2 or more separate or unrelated groups are compared. Many people think of this test being used with 3 or more groups, but it is fine to use it for two groups as well. (Either the ANOVA or the independent samples t test can be used when there are two unrelated groups).

Learning Tip: "Post-hoc" means "after the fact"; post-hoc tests are typically conducted after a significant result is found for the ANOVA. If the ANOVA is not significant, then post-hoc tests typically are not interpreted.

While there are many different post-hoc tests available, Tukey's test is covered here as (1) it is one of the more commonly used post-hoc tests and (2) research has shown that Tukey's test does a good job at keeping the overall alpha level at .05.

Note: The output for the post hoc test was provided in the prior lecture.

The various part of the source table are covered in this video, including SS, MS, F, and df. How the MS is equal to a variance and how F = variance between/variance within is also discussed.

Eta-square, the measure of effect size for the one-way between subjects ANOVA is covered here. Eta-square is equal to Sum of Squares (SS) between groups/Sum of Squares (SS) Total.

Cohen's standards for eta-square are .01 = small, .06 = medium, and .14 = large.

In this lecture, the one-way within subjects ANOVA is covered.

Learning Tip: The one-way within subjects ANOVA may be used when 2 or more dependent or related groups are compared. Many people think of this test being used with 3 or more groups, but it is fine to use it for two groups as well. (Either the within ANOVA or the dependent samples t test can be used when there are two related groups).

In this lecture, post-hoc tests are covered. The appropriate post-hoc test to use for the within subjects ANOVA is the dependent samples t test, with a separate t test used for each pair of groups.

Note: The output for the post hoc test was provided in the prior lecture.

In this video, the first part of a two-way ANOVA is covered here, including the background for an ANOVA and how to produce the output in SPSS.

Note: The SPSS data file for this lecture is located in lecture 2 as a zip file. (All data files for the course are in the lecture 2 folder.)

Part 2 of the two-way ANOVA is covered here, with a focus on interpreting the results that are output in SPSS.

The interaction effect is covered in this video. Interaction indicates that the lines are significantly non-parallel (for a profile plot in SPSS), which means that the impact of one factor differs across the levels of the other factor.

Simple effects are covered in this video, with all four possible simple effects tested. Simple effects test one factor at a single level of the other factor.

How to set up the data file in SPSS is covered here for the two-way ANOVA, which is an important topic and often an area of confusion where mistakes in structuring the data file are often made.

Part 1 of the one-between one-within ANOVA.

Part 2 of the one-between one-within ANOVA.

In this video, we take a look at the interaction effect for the one-between one-within ANOVA.

In this video, we illustrate how to conduct simple effects tests on the interaction effects in the one-between one-within ANOVA (part 1 of 2).

In this video, we illustrate how to conduct simple effects tests on the interaction effects in the one-between one-within ANOVA (part 2 of 2).

An overview of a 3-way between subjects ANOVA is provided in this video. The different effects that are tested (A, B, C, A x B, A x C, B x C, and A x B x C) and a description of the 3-way interaction (A x B x C) are covered.

A conclusion to the course is provided here. Congratulations to all who completed the course! Great job!!