Statistics / Data Analysis in SPSS: Factorial ANOVA
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# 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!
4.5 (13 ratings)
476 students enrolled
Last updated 9/2014
English
Current price: \$10 Original price: \$75 Discount: 87% off
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Includes:
• 3 hours on-demand video
• Access on mobile and TV
• Certificate of Completion
What Will I Learn?
• 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!
View Curriculum
Requirements
• Introduction to statistics course (either currently taking or already have completed)
Description

Update: June, 2017.

This course takes the viewer step-by-step through a number of different ANOVAs in SPSS, including the

1) One-way between ANOVA

2) One-way within ANOVA

3) Post-hoc tests

4) Two-way between ANOVA (main effects, interaction effect, and simple effects)

5) Introduction to a three-way ANOVA

Learn how to write the results of statistical analyses in a professional, widely accepted format.

Learn how to quickly interpret the critical information amidst a sea of statistical output.

Increase your confidence in this often misunderstood subject matter.

Increase your marketable quantitative job skills.

Designed by a award-winning (in teaching) statistics professor with a focus on both simple and accurate step-by-step explanations of the material. Substantially increase your knowledge of analysis of variance and inferential statistics -- enroll today!

Who 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
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Curriculum For This Course
19 Lectures
03:13:23
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Course Introduction
1 Lecture 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.

Preview 02:50
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One-Way Between Subjects ANOVA
4 Lectures 36:31

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).

One-Way Between Subjects ANOVA
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.

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

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.

Source Table Explained
09:27

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.

Measure of Effect Size - Eta-Squared
06:38
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One-Way Within Subjects ANOVA
2 Lectures 23:35

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).

One-Way Within Subects ANOVA
11:14

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.

One-Way Within Subjects ANOVA - Post Hoc Tests
12:21
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Two-Way Between Subjects ANOVA
5 Lectures 01:09:00

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.)

Two-Way Between Subjects ANOVA - Part 1
11:23

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

Two-Way Between Subjects ANOVA - Part 2
16:23

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.

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

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.

Preview 14:13

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.

Data Entry Example
14:05
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One-Between One-Within ANOVA
5 Lectures 55:04

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

One-Between One-Within ANOVA - Part 1
17:41

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

One-Between One-Within ANOVA - Part 2
09:31

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

One-Between One-WIthin ANOVA - Interaction Effect (Part 3)
10:35

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).

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 2 of 2).

Simple Effects Tests - One-between One-Within ANOVA (Part 2)
07:53
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Three-Way ANOVA - Overview
1 Lecture 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.

Three-Way ANOVA - Overview
05:33
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Conclusion
1 Lecture 00:50

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

Conclusion
00:50