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 and Kruskal-Wallis Test

Three is a magic number.

—Bob Dorough

Learning Objectives

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

• Determine when it is appropriate to run an ANOVA test.
• Verify that the data meet the criteria for ANOVA processing: normality, n, and homogeneity of variance.
• Order an ANOVA test with graphics.
• Select an appropriate ANOVA post hoc test: Tukey or Sidak.
• Derive results from the Descriptives and Multiple Comparisons tables.
• Calculate the unique pairs formula.
• Resolve the hypotheses.
• Know when and how to run and interpret the Kruskal-Wallis test.
• Write an appropriate abstract.

Guidelines for ANOVA and Kruskal-Wallis Tests

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

Variables: This statistic requires two variables for each record: ...