Statistics / Data Analysis in SPSS: MANOVA

Statistics / Data Analysis in SPSS: MANOVA, available at $54.99, has an average rating of 4.5, with 9 lectures, based on 201 reviews, and has 1412 subscribers.

You will learn about • 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 This course is ideal for individuals who are • Students seeking help with SPSS, especially how to analyze and interpret the results of statistical analyses or • Professionals desiring to augment their statistical skills or • Anyone seeking to increase their data analytic skills It is particularly useful for • Students seeking help with SPSS, especially how to analyze and interpret the results of statistical analyses or • Professionals desiring to augment their statistical skills or • Anyone seeking to increase their data analytic skills.

Enroll now: Statistics / Data Analysis in SPSS: MANOVA

Summary

Title: Statistics / Data Analysis in SPSS: MANOVA

Price: $54.99

Average Rating: 4.5

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: $64.99

Quality Status: approved

Status: Live

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

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

Target Audiences

• 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

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!

Course Curriculum

Chapter 1: MANOVA Overview and Example 1

Lecture 1: Introduction to the Course

Lecture 2: MANOVA – 2 Group Example (Part 1)

Lecture 3: MANOVA – 2 Group Example (Part 2)

Lecture 4: Equal Covariance Matrix Assumption Explained

Chapter 2: MANOVA 3 group problem

Lecture 1: MANOVA – 3 Group Example (Part 1)

Lecture 2: MANOVA – 3 Group Example (Part 2)

Chapter 3: Two-way MANOVA

Lecture 1: Two-way MANOVA (Part 1)

Lecture 2: Two-way MANOVA (Part 2)

Chapter 4: Final Thoughts

Lecture 1: Course Conclusion

Instructors

Quantitative Specialists
Specializing in Statistics, Research Design, and Measurement

Rating Distribution

1 stars: 3 votes
2 stars: 3 votes
3 stars: 14 votes
4 stars: 84 votes
5 stars: 97 votes

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