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How to Use SPSS (R)

A Step-By-Step Guide to Analysis and Interpretation

Brian C. Cronk



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25 October 2019
How to Use SPSS (R) 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 as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction.

More than 270 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 (R) the definitive, field-tested resource for learning SPSS.

New to this edition:

Now in full color with additional screenshots Fully updated to the reflect SPSS version 26 (and prior versions) Changes in nonparametric tests Model View incorporated Data and real output are now available for all Phrasing Results sections - eliminating hypothetical output or hypothetical data
By:   Brian C. Cronk
Imprint:   Routledge
Country of Publication:   United Kingdom
Edition:   11th New edition
Dimensions:   Height: 280mm,  Width: 210mm, 
Weight:   1.043kg
ISBN:   9780367355678
ISBN 10:   0367355671
Pages:   220
Publication Date:   25 October 2019
Audience:   College/higher education ,  Further / Higher Education ,  A / AS level
Format:   Hardback
Publisher's Status:   Active
Preface to the Eleventh Edition Chapter 1. Getting Started Chapter 2. Entering and Modifying Data Chapter 3. Descriptive Statistics Chapter 4. Graphing Data Chapter 5. Prediction and Association Chapter 6. Basic Parametric Inferential Statistics and t Tests Chapter 7. ANOVA Models Chapter 8. Nonparametric Inferential Statistics Chapter 9. Test Construction Appendix A. Effect Size Appendix B. Practice Exercise Data Sets Appendix C. Sample Data Files Used in Text Appendix D. SPSS Syntax Basics Appendix E. Glossary Appendix F. Selecting the Appropriate Inferential Test Appendix G. Answer Key Index

Brian C. Cronk is Professor and Chair, Department of Psychology, Missouri Western State University, USA (PhD in Psychology 1993, University of Wisconsin-Milwaukee).

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