A Simple Guide to IBM SPSS Statistics - version 23.0 / Edition 14

by Lee A. Kirkpatrick

Overview

Completely up to date and extremely student friendly, A SIMPLE GUIDE TO IBM SPSS: FOR VERSION 23.0, Fourteenth Edition, equips you with everything you need to know about the newest version of SPSS for Windows so you can effectively use the program in your statistics class. The guide's straightforward style frees you to concentrate on learning basic statistical concepts, while still developing familiarity with SPSS. Its clear, step-by-step instruction quickly gets you up to speed, enabling you to confidently use SPSS to do homework problems and conduct statistical analyses for research projects.

Product Details

ISBN-13:	9781305877719
Publisher:	Cengage Learning
Publication date:	08/06/2015
Edition description:	New Edition
Pages:	128
Product dimensions:	7.30(w) x 9.00(h) x 0.30(d)

About the Author

Lee A. Kirkpatrick is Associate Professor of Psychology at the College of William and Mary, where he has taught since 1991. He teaches courses in statistics (introductory and advanced/graduate), research methods, and evolutionary psychology. He received his PhD in social/personality psychology from the University of Denver in 1988.

Table of Contents

Part I: HOW TO USE SPSS FOR WINDOWS. 1. Introduction to SPSS for Windows. 2. Entering Data and Naming Variables. 3. Specifying Analyses Using the Point-and-Click Method. 4. Specifying Analyses Using the Syntax Method. 5. Viewing and Manipulating Output. Part II: PROCEDURES. 6. Frequency Distributions and Descriptive Statistics. 7. One-Sample t-Test. 8. Independent-Samples t-Test. 9. Dependent-Samples (Matched-Pairs, Paired Samples). 10. One-Way Between-Groups (Independent Groups). 11. Two-Way Between-Groups (Independent Groups). 12. One-Way Within-Subjects (Repeated Measures) ANOVA. 13. Two-Way Mixed (Between-Within) ANOVA. 14. Correlations. 15. Simple Regression. 16. Multiple Regression. 17. Chi-Square Test of Independence. Appendix A: Saving and Retrieving Files. Appendix B: Data Transformations.