IBM SPSS for Intermediate Statistics. Use and Interpretation - George A. Morgan;Nancy L. Leech;Karen C. Barrett

IBM SPSS for Intermediate Statistics, sixth edition, is 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; 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; discriminant analyses; logistic regression; and factor analysis are provided. SPSS syntax is included for those who prefer this format. Pedagogical features include call-out boxes to highlight key points, interpretation sections and questions, realistic data sets for practice, and information on how to get started with SPSS, as well as appendices reviewing basic statistics, discussing how to write research questions, providing answers to the odd numbered interpretation questions, and providing references for further reading.

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

The new edition features: