The book "IBM SPSS for Intermediate Statistics: Use and Interpretation, 5th Edition" is designed to help readers analyze and interpret research data using IBM SPSS. It covers intermediate statistics, including multivariate statistics, and provides a user-friendly guide to performing these analyses. The book includes chapters on research designs, data assessment, effect size calculation, post-hoc power, and basic statistics. Unique chapters focus on multilevel linear modeling, MANOVA, reliability assessment, multiple imputation, mediation and moderation, and factor analysis. The fifth edition features IBM SPSS version 22 and includes SPSS syntax with output. It is intended for use in intermediate statistics courses in psychology, education, and other social and health sciences, as well as for researchers in these fields. The book aims to help readers choose appropriate statistics, interpret SPSS outputs, and write about the results. It provides practical tools such as key SPSS windows, outputs with call-out boxes, interpretation sections, and extra problems using realistic data sets.The book "IBM SPSS for Intermediate Statistics: Use and Interpretation, 5th Edition" is designed to help readers analyze and interpret research data using IBM SPSS. It covers intermediate statistics, including multivariate statistics, and provides a user-friendly guide to performing these analyses. The book includes chapters on research designs, data assessment, effect size calculation, post-hoc power, and basic statistics. Unique chapters focus on multilevel linear modeling, MANOVA, reliability assessment, multiple imputation, mediation and moderation, and factor analysis. The fifth edition features IBM SPSS version 22 and includes SPSS syntax with output. It is intended for use in intermediate statistics courses in psychology, education, and other social and health sciences, as well as for researchers in these fields. The book aims to help readers choose appropriate statistics, interpret SPSS outputs, and write about the results. It provides practical tools such as key SPSS windows, outputs with call-out boxes, interpretation sections, and extra problems using realistic data sets.