Levine’s Guide to SPSS for Analysis of Variance

Gustav Levine, Sanford L. Braver, David P. Mackinnon, Melanie C. Page, Gustav Guide to Spss for Analysis of Variance Levine9780805830958, 0-8058-3095-2, 0805830960

This guide provides detailed instructions for using SPSS to run several statistical tests of significance, especially analyses of variance. It provides the relevant program statements and details SPSS syntax. Written for practicing researchers and advanced-level students, the guide assumes a familiarity with the basic concepts and techniques related to the analyses of variance. A companion CD-ROM contains all the data sets cited in the text and exercises for each chapter.

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Table of contents :
Team DDU……Page 1
Contents……Page 6
PREFACE……Page 10
Table of Topics……Page 12
Conventions for Syntax Programs……Page 14
Creating Syntax Programs in Windows……Page 15
Reading In Data With Syntax……Page 18
Entering Data with the “DATA LIST” Command……Page 19
“FREE” or “FIXED” Data Format……Page 20
Data Entry for SPSS for Windows Users……Page 22
Importing Data……Page 24
Output Examination……Page 25
“COMPUTE”……Page 27
“SELECT IF”……Page 28
Data Transformations with PAC……Page 29
Basic Analysis of Variance Commands……Page 33
Comparisons……Page 37
Planned Contrasts……Page 38
Post Hoc Tests……Page 41
Trend Analysis……Page 45
Monotonic Hypotheses……Page 49
PAC……Page 50
Basic Analysis of Variance Commands……Page 55
Unequal N Factorial Designs……Page 58
Planned Contrasts and Post Hoc Analyses of Main Effects……Page 62
Simple Effects……Page 64
Simple Comparisons and Simple Post Hocs……Page 65
Interaction Contrasts……Page 66
Trend Interaction Contrasts and Simple Trend Analysis……Page 68
PAC……Page 69
Basic Analysis of Variance Commands……Page 72
Simple Two-Way Interactions……Page 75
A Nonsignificant Three-Way: Simple Effects……Page 76
Interaction Contrasts, Simple Comparisons, Simple Simple Comparisons,and Simple Interaction Contrasts……Page 77
PAC……Page 79
Basic Analysis of Variance Commands……Page 80
Correction for Bias in Tests of Within-Subjects Factors……Page 83
Planned Contrasts……Page 85
The “TRANSFORM/RENAME” Method for Nonorthogonal Contrasts……Page 86
The “CONTRAST/WSDESIGN” Method for Orthogonal Contrasts……Page 87
PAC……Page 88
Basic Analysis of Variance Commands……Page 94
Main Effect Contrasts……Page 97
Analyzing Orthogonal Main Effects Contrasts (Including Trend Analysis) Using “CONTRAST/WSDESIGN”……Page 98
Nonorthogonal Main Effects Contrasts Using “TRANSFORM/RENAME”……Page 99
Simple Effects……Page 101
Analyzing Orthogonal Simple Comparisons Using “CONTRAST/WSDESIGN”……Page 102
Nonorthogonal Simple Comparisons Using “TRANSFORM/RENAME”……Page 103
More Than Two Factors……Page 105
PAC……Page 106
Basis Analysis of Variance Commands……Page 110
Within-Subjects Factor(s)……Page 113
Simple Effects……Page 117
Simple Comparisons……Page 120
PAC……Page 122
9 THREE- (OR GREATER) FACTOR MIXED DESIGNS……Page 124
Simple Two-Way Interactions……Page 125
Simple Simple Effects……Page 126
Main Effect Contrasts and Interaction Contrasts……Page 127
Simple Contrasts: Simple Comparisons, Simple Simple Comparisons,and Simple Interaction Contrasts……Page 129
PAC……Page 132
10 ANALYSIS OF COVARIANCE……Page 133
Testing the Homogeneity of Regression Assumption……Page 135
Multiple Covariates……Page 136
Multiple Between-Subjects Factors……Page 137
Constant Covariate……Page 138
Varying Covariate……Page 140
PAC……Page 144
11 DESIGNS WITH RANDOM FACTORS……Page 145
Random Factors Nested in Fixed Factors……Page 146
The One-Factor Within-Subjects Design……Page 147
Two-Factor Mixed Design……Page 151
Using One-Line-per-Level Setup to Get Values to Manually Compute Adjusted Means in Varying Covariate Within-Subjects ANCOVA……Page 153
PAC……Page 156
Basic Analysis of Variance Commands……Page 158
Multivariate Planned Contrasts and Post Hocs……Page 162
Multiple Dependent Variables in Within-Subject Designs:Doubly Multivariate Designs……Page 163
Contrasts in Doubly Multivariate Designs……Page 166
PAC……Page 170
Basic Commands……Page 179
Contrasts……Page 181
Main Effects Contrasts and Post Hocs……Page 184
Simple Effects……Page 187
Interaction Contrasts……Page 189
Basic Commands……Page 190
Planned Contrasts……Page 191
Two or More Factor Within-Subjects ANOVA……Page 192
Main Effect and Interaction Contrasts……Page 193
Simple Effects and Simple Comparisons……Page 194
More Complex Analyses……Page 196
REFERENCES……Page 198
APPENDIX A……Page 199
APPENDIX B……Page 201
Author Index……Page 202
Subject Index……Page 204