Statistics / Data Analysis in SPSS: MANOVA

Applied Data Analysis Using Multivariate Analysis of Variance (MANOVA)

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Statistics / Data Analysis in SPSS: MANOVA

What You Will 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

Description

November, 2019.

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 Should Attend!

  • • 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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Tags

  • Data Analysis
  • SPSS
  • Statistics

Subscribers

1355

Lectures

9

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