Statistics / Data Analysis in SPSS: Factorial ANOVA
4.5 (10 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
423 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Statistics / Data Analysis in SPSS: Factorial ANOVA to your Wishlist.

Add to Wishlist

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 (10 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
423 students enrolled
Last updated 9/2014
English
Current price: $10 Original price: $75 Discount: 87% off
1 day left at this price!
30-Day Money-Back Guarantee
Includes:
  • 3 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Have a coupon?
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)
  • Access to IBM SPSS Software (strongly recommended)
Description

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.

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
Students Who Viewed This Course Also Viewed
Curriculum For This Course
Expand All 19 Lectures Collapse All 19 Lectures 03:13:23
+
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
+
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
+
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
+
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
+
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
+
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
+
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
About the Instructor
Quantitative  Specialists
4.4 Average rating
361 Reviews
4,640 Students
9 Courses
Specializing in Statistics, Research Design, and Measurement

Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work!