"Designed to help reader analyze and interpretet 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, inncluding odds ratios for the 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."--- text from back of the book.

Preface -- About the authors -- 1 Introduction -- 2 Data coding and exploratory analyses (EDA) -- 3 Several measures of reliability -- 4 Exploratory factor analysis and principal components analysis -- 5 Selecting and interpreting inferential statistics -- 6 Multiple regression -- 7 Mediation, moderation, and canonical correlation -- 8 Logistic regression and discriminant analysis -- 9 Factorial ANOVA and ANCOVA -- 10 Repeated-measures and mixed ANOVAs -- 11 Multivariate analysis of variance (MANOVA) -- 12 Multilevel linear modeling / hierarchical linear modeling -- 13 Missing data and multiple imputation -- Appendices -- A Getting started with SPSS and other useful procedures -- B Review of basic statistics -- C Writing research problems and questions -- D Answers to odd interpretation questions -- For further reading -- Index.