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Brody Heritage, Peter Allen, Kellie Bennett - 502 pages - Language: English - Publisher: Cengage; 5th Edition (November, 2022).

This book, "SPSS Statistics: A Practical Guide," is a comprehensive resource for understanding and utilizing SPSS software for statistical analysis in the social sciences. Authored by Kellie Bennett, Brody Heritage, and Peter Allen, the fifth edition provides updated content reflecting the latest version of SPSS Statistics, Version 25. 

Brian C. Cronk - 254 pages - Language: English - Publisher: Routledge; 12th Edition (January, 2024).

How to Use SPSS is designed with the novice computer user in mind and for people who have no previous experience using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report.

The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such a descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction.

More than 275 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS the definitive, field-tested resource for learning SPSS.

New to this edition: Fully updated to the reflect SPSS version 29. Every screen shot has been recaptured. + New video supplements for all practice exercises. + References to significance levels have been updated to reflect the new SPSS output format. + Effect size is now shown in output for many procedures and reference to some effect size has been moved from Appendix A to be more integrated into the chapters. Sample results sections now also include effect size where SPSS directly calculates effect size. + A new section covering the EXPLORE command has been added to Chapter 3.

Tanvir Mustafy, Tauhid Rahman - 281 pages - Language: ‎English - Publisher: ‎Springer; (January, 2024).

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs - Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses,and apply them to their research or professional fields.

The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.