Using SPSS for Windows: Data Analysis and Graphics

✍ Scribed by Susan B. Gerber, Kristin Voelkl Finn

• Publisher: Springer
• Year: 2005
• Tongue: English
• Leaves: 239
• Edition: 2nd
• Category: Library

✦ Synopsis

The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability. This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text. The book provides hands-on experience with actual data sets, helps students choose appropriate statistical tests, illustrates the meaning of results, and provides exercises to be completed for further practice or as homework assignments.

✦ Table of Contents

Preface......Page 6
Contents......Page 8
Part I Introduction......Page 13
The Nature of SPSS......Page 15
Part II. Descriptive Statistics......Page 39
Summarizing Data Graphically......Page 41
Summarizing Data Numerically: Measures of Central Tendency......Page 55
Summarizing Data Numerically: Measures of Variability......Page 65
Summarizing Multivariate Data: Association Between Numerical Variables......Page 75
Summarizing Multivariate Data: Association Between Categorical Variables......Page 89
Part III. Probability......Page 101
Basic Ideas of Probability......Page 103
Probability Distributions......Page 107
Sampling Distributions......Page 111
Part IV. Inferential Statistics......Page 119
Answering Questions About Population Characteristics......Page 121
Differences Between Two Populations......Page 135
Inference on Categorical Data......Page 141
Regression Analysis: Inference on Two or More Numerical Variables......Page 151
ANOVA: Comparisons of Several Populations......Page 175
Exploratory Factor Analysis......Page 193
Appendix A. Data Files......Page 207
Appendix B. Answers to Selected Chapter Exercises......Page 221
Index......Page 237