and measures of association for two-  and k- variable combinations for different measurement levels, multiple regression and multivariate analysis, collinearity, ordinary least squares regression, part and partial correlation, error, parsimony, and robustness.  Chapters are filled with examples and illustrations from contemporary criminal justice and criminology literature with an emphasis on how statistics fits into the research process and how causality is established. This edition devotes a full chapter to SPSS, includes interpretive statistical tables with explanatory headnotes and footnotes, and offers step-by-step formulae to heighten the meaningfulness of statistics for criminal justice and social science majors.

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