• 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 ...

Nonparametric Tests
Nonparametric tests
Conceptual Background of Nonparametric Tests

We've noted the assumptions of the general linear model in several places throughout this book. We've pointed out how to test the assumptions and even a few steps that you might take to attempt to correct violations of the assumptions. But what happens when your data are irreparably nonnormal? Or if your data never pretended to be normal in the first place, as is the case with rank-ordered data or single-subject response times? In those cases, one option is to ...

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