Statistics / Data Analysis in SPSS: Factorial ANOVA

Applied data analysis in SPSS, covering the one-way ANOVA, two-way ANOVA (main effects and interaction), and more!

This course takes the viewer step-by-step through a number of different ANOVAs in SPSS, including the one-way between ANOVA, the one-way within ANOVA, post hoc tests, the two-way between ANOVA (main effects, interaction effect, and simple effects), and a conceptual overview of the three-way ANOVA. Designed by an award-winning university statistics instructor with a focus on both simple and accurate step-by-step explanations of the material.

What are the requirements?

• Introduction to statistics course (either currently taking or already have completed)
• Access to IBM SPSS Software (strongly recommended)

What am I going to get from this course?

• Over 19 lectures and 3 hours of content!
• learn how to interpret the one-way ANOVA between and within subjects designs
• Learn how to run and interpret a two-way ANOVA, including main effects and interactions
• learn how to conduct simple effects tests on the interaction effect
• understand the source table in ANOVA, including the relationship between SS, MS, df, and F
• Learn about effect sizes, include eta-square and partial eta-square
• gain much greater facility in SPSS
• Have fun doing it in a learn at your own pace, non threatening format!

What is the target audience?

• Students seeking help with SPSS, especially how to analyze and interpret the results of ANOVA tests
• Professionals desiring to augment their statistical skills
• Anyone seeking to increase their data analytic skills

Curriculum
Section 1: Course Introduction
Lecture 1 Course Introduction 02:50
An overview of the course is provided in this lecture.
Note: The SPSS data files for the entire course are located in the lecture 2 folder.

Section 2: One-Way Between Subjects ANOVA
Lecture 2 One-Way Between Subjects ANOVA 10:13
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).

Lecture 3 One-Way Between Subjects ANOVA - Post Hoc Tests 10:13
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.

Lecture 4 Source Table Explained 09:27
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.

Lecture 5 Measure of Effect Size - Eta-Squared 06:38
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.

Section 3: One-Way Within Subjects ANOVA
Lecture 6 One-Way Within Subects ANOVA 11:14
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).

Lecture 7 One-Way Within Subjects ANOVA - Post Hoc Tests 12:21
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.

Section 4: Two-Way Between Subjects ANOVA
Lecture 8 Two-Way Between Subjects ANOVA - Part 1 11:23
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.)

Lecture 9 Two-Way Between Subjects ANOVA - Part 2 16:23
Part 2 of the two-way ANOVA is covered here, with a focus on interpreting the results that are output in SPSS.

Lecture 10 Displaying the Interaction Effect - Profile Plots and Bar Charts 12:56
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.

Lecture 11 Simple Effects Tests 14:13
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.

Lecture 12 Data Entry Example 14:05
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.

Section 5: One-Between One-Within ANOVA
Lecture 13 One-Between One-Within ANOVA - Part 1 17:41
Part 1 of the one-between one-within ANOVA.

Lecture 14 One-Between One-Within ANOVA - Part 2 09:31
Part 2 of the one-between one-within ANOVA.

Lecture 15 One-Between One-WIthin ANOVA - Interaction Effect (Part 3) 10:35
In this video, we take a look at the interaction effect for the one-between one-within ANOVA.

Lecture 16 Simple Effects Tests - One-between One-Within ANOVA (Part 1) 09:24
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).

Lecture 17 Simple Effects Tests - One-between One-Within ANOVA (Part 2) 07:53
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).

Section 6: Three-Way ANOVA - Overview
Lecture 18 Three-Way ANOVA - Overview 05:33
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.

Section 7: Conclusion
Lecture 19 Conclusion 00:50
A conclusion to the course is provided here. Congratulations to all who completed the course! Great job!!







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