IBM SPSS for Intermediate Statistics
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. The new edition features: - 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. IBM SPSS for Intermediate Statistics, Fifth Edition.
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