Statistics / Data Analysis in SPSS: MANOVA
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# Statistics / Data Analysis in SPSS: MANOVA

Applied Data Analysis Using Multivariate Analysis of Variance (MANOVA)
4.7 (10 ratings)
291 students enrolled
Last updated 3/2014
English
Current price: \$10 Original price: \$75 Discount: 87% off
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Includes:
• 1.5 hours on-demand video
• Access on mobile and TV
• Certificate of Completion
What Will I Learn?
• • In this course, you will gain proficiency in how to analyze several different types of MANOVAs in SPSS.
• • You will learn how to interpret the output of a number of different MANOVA procedures
• • Learn how to write the results of MANOVA using APA format
View Curriculum
Requirements
• • Introduction to statistics course (either currently taking or already have completed)
Description

Course Update: 6/2017

Multivariate Analysis of Variance, a popular but frequently perplexing procedure in statistics, is used to test two or more groups on two or more dependent variables. Mindful of the frustration and confusion that is often experienced with this procedure, this course was carefully designed by a specialist in quantitative methods (statistics) who has successfully taught MANOVA to graduate students from a variety of different backgrounds. Several students who thought they couldn’t understand this procedure were later explaining how they not only understood it, but actually found it to be fun!

Specifically, this course takes the viewer step-by-step through running and interpreting a number of different multivariate analyses of variance (MANOVA) in SPSS. Several different examples of MANOVA are covered, including:

• MANOVA with 2 Groups (Also Known as Hotelling’s T-Squared)
• MANOVA with 3 Groups
• Post-Hoc Tests for Problems with 3 or More Groups
• Two-way MANOVA
• Equal Covariance Matrix Assumption of MANOVA Explained Step-by-Step

All tests include a detailed, step-by-step explanation of results, including how to assess the results for significance, with written results provided for each test covered.

Enroll today and be confused by MANOVA no longer!

Who is the target audience?
• • Students seeking help with SPSS, especially how to analyze and interpret the results of statistical analyses
• • Professionals desiring to augment their statistical skills
• • Anyone seeking to increase their data analytic skills
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Curriculum For This Course
9 Lectures
01:33:47
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MANOVA Overview and Example 1
4 Lectures 45:42

The introduction to the course is provided in this video.

Preview 02:55

In this video, multivariate analysis of variance (MANOVA) is introduced and an example is illustrated in SPSS.

Tip: MANOVA is used when 2 or more groups are compared simultaneously on at least two dependent variables. If there is only one dependent variable, then the ANOVA would be used instead of MANOVA.

Note: The data files for the course are available in the in this folder (click on the download icon while viewing the lecture to access them).

Preview 11:59

Part 2 of the 2 group MANOVA example is covered in this video, which also includes written results of the SPSS output.

Note: A pdf file of the SPSS output is available for download in this lecture folder.

MANOVA - 2 Group Example (Part 2)
15:25

The equal covariance matrix assumption is covered in this video, including what the assumption means and what can be done if it happens to not be met in the data.

Equal Covariance Matrix Assumption Explained
15:23
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MANOVA 3 group problem
2 Lectures 28:39

In this video, part 1 of a 3 group MANOVA is covered.

Note: A pdf file of the SPSS output is available for download in this lecture folder.

MANOVA - 3 Group Example (Part 1)
11:49

In this video, part 2 of a 3 group MANOVA is covered.

MANOVA - 3 Group Example (Part 2)
16:50
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Two-way MANOVA
2 Lectures 18:49

In this video, a part 1 of a two-way MANOVA is covered.

Note: A pdf file of the SPSS output is available for download in this lecture folder.

Two-way MANOVA (Part 1)
12:08

In this video, a part 2 of a two-way MANOVA is covered.

Two-way MANOVA (Part 2)
06:41
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Final Thoughts
1 Lecture 00:37

The conclusion to the course is provided in this video.

Course Conclusion
00:37