• 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 ...

Matrix Algebra
Matrix algebra
Conceptual Background of Matrix Algebra

The general linear model is the conceptual and statistical backbone of nearly all of the tests covered in the book. Everything from t-tests, ANOVA, correlation, regression, and even factor analysis can be described in terms of the GLM. In its most general form, the GLM equation is

where Y is a vector of data with the dependent measure, X is the “design matrix” that specifies the type of test to be run (e.g., ANOVA vs. regression) by its form, β ...

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