IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference

IBM SPSS Statistics 27 Step by Step is a comprehensive guide for researchers and students who want to perform statistical analysis with ease.

With its straightforward approach, this book covers the basics of statistical analysis and advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and more.

The book includes exercises at the end of each chapter to provide additional practice opportunities, as well as a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index.

New to this edition is a chapter on a priori power analysis, which helps researchers determine the sample size needed for their research before starting data collection.

With its clear writing, step-by-step boxes, and extensive use of four-color screen shots, IBM SPSS Statistics 27 Step by Step is an invaluable aid to thousands of researchers and students worldwide.