For courses in Introduction to Statistics for Criminal Justice and Criminology. Also appropriate for general
social science statistics. Using a non-technical approach, this book covers the full range of statistics topics--from
descriptive statistical techniques to tests of significance and measures of association for two- andk- 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.