• Summary
  • Contents
  • Subject index

Bridging an understanding of Statistics and SPSS.

“The text is written in a user-friendly language and illustrates concepts that would otherwise be confusing to beginning students and those with limited computer skills.”

-Justice Mbizo, University of West Florida

This unique text helps students develop a conceptual understanding of a variety of statistical tests by linking the ideas learned in a statistics class from a traditional statistics textbook with the computational steps and output from SPSS. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, clearly linking how the SPSS procedure and output connect back to the conceptual underpinnings of ...

Multivariate ANOVA
Multivariate ANOVA
Conceptual Background of the Multivariate ANOVA

All of the tests we've described to this point have a single dependent measure. Two-way ANOVA tests the separate and additive effects of two independent factors on one dependent measure. Within-subjects ANOVA compares several measures for each participant, but each measure reflects the same conceptual variable; the ANOVA examines how that single variable is altered in different conditions. In contrast, the multivariate ANOVA, also known as MANOVA, tests the effect of a between-groups factor on two or more dependent measures ...

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