SPSS Essentials Managing and Analyzing Social Sciences Data

by Kulas, John T.

Edition: 1st

ISBN13: 9780470226179

ISBN10: 047022617X

Format: Paperback

Pub. Date: 2008-12-15

Publisher(s): Jossey-Bass

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Summary

Written byÂÂ a highly experienced researcher and teachers, this book provides a much-needed guide to the proper use of Statistical Package for the Social Sciences (SPSS) software in social research, particularly where data may not be presented in the most convenient way. The book focuses on data manipulations and covers the majority of real-world use of SPSS use. Among the book's many unique features are its syntax diary method for organization of manipulations and analyses. Offers both novices and intermediate users a framework within which they can safely and comfortably work with SPSS.

Author Biography

John T. Kulas, PhD, is an organizational consultant and associate professor of psychology, Saint Cloud State University, St. Cloud, Minnesota. Additionally, Kulas is consulting editor to Journal of Psychology.

Preface	p. ix
The Author	p. xi
Fundamentals of Data Management
Introduction to SPSS	p. 3
Chapter Learning Objectives	p. 4
What SPSS Is Used For	p. 5
How the Program Works	p. 6
Summary	p. 9
Key Terms	p. 10
Discussion Questions	p. 10
How to Organize Your SPSS Life	p. 11
Chapter Learning Objectives	p. 12
The Importance of Syntax Files	p. 12
Creating Your Project File Folders	p. 15
Summary	p. 15
Key Terms	p. 16
Discussion Questions	p. 16
Types of Data	p. 17
Chapter Learning Objectives	p. 18
Understanding Your Data	p. 18
Conceptualizing Your Matrix	p. 19
Data Files	p. 20
Kinds of Data: An SPSS Perspective	p. 21
Summary	p. 23
Key Terms	p. 23
Discussion Questions	p. 23
Creating and Accessing Data Files	p. 25
Chapter Learning Objectives	p. 26
Before You Open SPSS	p. 27
Specifying Operations Through SPSS	p. 28
Creating Data Files the Hard Way	p. 28
Creating Data Files the Syntax Way	p. 30
Numeric Versus String Variables	p. 33
Working with Your Data Files	p. 34
Importing Data from Other Programs	p. 40
Summary	p. 42
Key Terms	p. 42
Discussion Questions	p. 43
Defining Your Data	p. 45
Chapter Learning Objectives	p. 46
Notation	p. 46
Defining Your Dataset	p. 47
Summary	p. 51
Key Terms	p. 51
Discussion Questions	p. 51
Manipulating Your Data	p. 53
Chapter Learning Objectives	p. 54
Creating Scale Scores	p. 55
Learning the Command Language	p. 59
The Importance of Selecting All	p. 63
Using the Variables Tool	p. 67
Summary	p. 69
Key Terms	p. 70
Discussion Questions	p. 70
Collapsing and Merging Data Files	p. 71
Chapter Learning Objectives	p. 72
Same People, Different Information	p. 72
Different People, Same Information	p. 77
Summary	p. 80
Key Terms	p. 80
Discussion Question	p. 80
Differential Treatment of Your Data	p. 81
Chapter Learning Objectives	p. 82
Isolating Interesting Cases	p. 82
Summary	p. 90
Key Terms	p. 90
Discussion Questions	p. 91
Synthesizing and Analyzing Data
Requesting Output	p. 95
Chapter Learning Objectives	p. 96
The "Descriptives" Command	p. 96
The "Frequencies" Command	p. 98
A General Note on Analyses	p. 102
A General Note About Output Files	p. 104
Summary	p. 104
Key Terms	p. 104
Discussion Questions	p. 105
Inferential Analyses (T-Tests)	p. 107
Chapter Learning Objectives	p. 108
The T-Test	p. 108
Summary	p. 122
Key Terms	p. 122
Discussion Questions and Problems	p. 123
Inferential Analyses (Anovas)	p. 125
Chapter Learning Objectives	p. 126
One-Way ANOVA ("One-Way" Command)	p. 126
Repeated-Measures ANOVA ("GLM" Command)	p. 129
Factorial ANOVA ("UNIANOVA" Command)	p. 137
Follow-Up Contrasts	p. 142
Summary	p. 142
Key Terms	p. 143
Discussion Questions	p. 144
Inferential Analyses (Correlation or Regression)	p. 147
Chapter Learning Objectives	p. 148
Correlation	p. 149
Simple Regression	p. 152
Multiple Regression	p. 156
Summary	p. 166
Key Terms	p. 166
Discussion Questions	p. 167
Advanced Manipulations and Problem Solving
Using Your Output	p. 171
Chapter Learning Objectives	p. 172
Problem Solving	p. 172
Maximizing Output Information	p. 182
Summary	p. 183
Key Terms	p. 184
Discussion Questions	p. 184
Other Tricks of the Trade	p. 185
Chapter Learning Objectives	p. 186
Salvaging Old Syntax	p. 186
Tricking SPSS to "Think" Across Rows	p. 192
"Do If" and "End If"	p. 199
Summary	p. 201
Key Terms	p. 201
Discussion Questions	p. 202
Bibliography	p. 203
Other Useful References	p. 205
Appendixes
Completed Questionnaire Form Example	p. 207
Example Code Sheet for Questionnaire	p. 213
Summary of Creating and Defining a Data File	p. 219
Example Syntax File Integrating Multiple Commands (Fulfilling Multiple Purposes)	p. 225
Commands to Know, Organized by Importance	p. 235
Answers to Chapter Discussion Questions	p. 237
Glossary	p. 249
Index	p. 255
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