Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format.

• IBM SPSS version 22; although the book can be used with most older and newer versions

• New discusiion of intraclass correlations (Ch. 3)

• Expanded discussion of effect sizes that includes confidence intervals of effect sizes (ch.5)

• New information on part and partial correlations and how they are interpreted and a new discussion on backward elimination, another useful multiple regression method (Ch. 6)

• New chapter on how to use a variable as a mediator or a moderator (ch. 7)

• Revised chapter on multilevel and hierarchical linear modeling (ch. 12)

• A new chapter (ch. 13) on multiple imputation that demonstrates how to deal with missing data

• Updated web resources for instructors including PowerPoint slides and answers to interpretation questions and extra problems and for students, data sets, chapter outlines, and study guides.

• all of the key SPSS windows needed to perform the analyses

• outputs with call-out boxes to highlight key points

• interpretation sections and questions to help students better understand and interpret the output

• extra problems with realistic data sets for practice using intermediate statistics

• Appendices on how to get started with SPSS, write research questions, and basic statistics.

An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social, behavioral, and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS