What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp’s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics. Free downloadable tutorial videos provide an overview of each statistical method!

### Manova —Bobby Orr

### Learning Objectives

Upon completing this chapter, you will be able to do the following:

• Determine when it is appropriate to run a MANOVA test.
• Verify that the data meet the criteria for MANOVA processing: sample size, normality, moderate correlation, homogeneity of variance-covariance (Box’s M test), and homogeneity of variance (Levene’s test).
• Order a MANOVA test.
• Derive results from the estimates and pairwise comparisons tables.
• Resolve the hypotheses.
• Write an appropriate abstract.

### When to Use This Statistic ### Guidelines for Selecting the MANOVA Test

Overview: This statistic is for designs that involve more than two groups and more than one outcome variable to determine which group(s) (if any) outperformed another for each outcome variable.

Variables: This statistic requires three variables for each record: (1) a categorical variable to designate ...

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