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!

ANOVA Repeated Measures

The only reason for time is so that everything doesn’t happen at once.

—Albert Einstein

Learning Objectives

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

  • Determine when it is appropriate to run an ANOVA repeated-measures test.
  • Verify that the data meet the criteria for ANOVA repeated-measures test processing: Mauchly’s test of sphericity.
  • Order an ANOVA repeated-measures test.
  • Interpret test results.
  • Resolve the hypotheses.
  • Write an appropriate abstract.
  • Comprehend the versatility of repeated-measures designs.

When to Use This Statistic

Guidelines for Selecting the ANOVA Repeated Measures Test

Overview: This statistic detects if a measurement changes over more than two time points.

Variables: A continuous measurement that is gathered at three time points requires three variables: Measurement1, Measurement2, and Measurement3.

Results: In March, the mean crime rate in the 26 communities of Anytown ...

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