IBM SPSS for Intermediate Statistics: Use and Interpretation

Choosing a statistical test is only part of the work: researchers also need to understand the assumptions behind it, make sense of the output, and explain what the results mean. IBM SPSS for Intermediate Statistics: Use and Interpretation brings those steps together, guiding readers from research design and data preparation through analysis and clear reporting.

This sixth edition ranges well beyond introductory procedures, with practical instruction in reliability, regression, multivariate methods, and more. Its worked problems and interpretation questions keep the emphasis on using IBM SPSS to answer research questions—not simply clicking through menus.

Connect research questions to the right analysis

The opening material reviews research problems, variables, measurement, and data exploration before addressing how to select and interpret inferential statistics. Readers also encounter missing-data patterns and multiple imputation, data reliability, factor analysis, and principal components analysis.

Work through intermediate and multivariate methods

Later chapters take up multiple regression; mediation, moderation, and canonical correlation; logistic regression and discriminant analysis; factorial ANOVA and ANCOVA; repeated-measures and mixed ANOVAs; MANOVA; and multilevel linear modeling. The coverage gives students and researchers a route into methods that can feel daunting when encountered only as isolated procedures.

Interpret output, check assumptions, report results

Throughout the book, attention to research design, test assumptions, effect sizes, and interpretation helps readers consider what an analysis can support. SPSS syntax is included alongside guidance using the program, while exercises and realistic datasets offer opportunities to practice reading results and writing about them.

For coursework and research practice

Updated for IBM SPSS version 29, this edition is designed as a supplement for intermediate or advanced statistics and research methods courses in behavioral and social sciences, education, and related areas. It may also serve researchers who want a practical reference for SPSS commands and output interpretation. Appendices provide a basic-statistics review, support for developing research questions, and answers to selected interpretation questions.

For readers ready to move from statistical output to a defensible explanation of their findings, this book keeps the research question—and what the evidence actually says—at the center.