What is included with this book?
Preface | p. ix |
Acknowledgements | p. xiii |
Dedication | p. xv |
Introduction | p. 1 |
Psychological research and SPSS | p. 3 |
Guide to the statistical tests covered | p. 14 |
Working with SPSS | p. 15 |
Starting SPSS | p. 17 |
How to exit SPSS | p. 20 |
Some useful option settings in SPSS | p. 21 |
Data entry in SPSS | p. 23 |
The Data Editor window | p. 25 |
Defining a variable in SPSS | p. 26 |
Entering data | p. 38 |
Saving a data file | p. 41 |
Opening a data file | p. 43 |
Data entry exercises | p. 45 |
Answers to data entry exercises | p. 48 |
Exploring data in SPSS | p. 51 |
Descriptive statistics | p. 53 |
The Descriptives command | p. 54 |
The Viewer window | p. 58 |
The Frequencies command | p. 62 |
The Explore command | p. 67 |
Introducing graphing in SPSS | p. 76 |
Chart Builder | p. 78 |
Graphboard Template Chooser | p. 84 |
Data handling | p. 89 |
An introduction to data handling | p. 91 |
Sorting a file | p. 92 |
Splitting a file | p. 94 |
Selecting cases | p. 96 |
Recoding values | p. 100 |
Computing new variables | p. 105 |
Counting values | p. 108 |
Ranking cases | p. 110 |
Data file for scales or questionnaires | p. 113 |
Tests of difference for two sample designs | p. 117 |
An introduction to the t-test | p. 119 |
The independent t-test | p. 120 |
The paired t-test | p. 129 |
An introduction to the nonparametric equivalents of the t-test | p. 133 |
The Mann-Whitney test | p. 134 |
The Wilcoxon test | p. 137 |
Tests of correlation | p. 141 |
An introduction to tests of correlation | p. 143 |
Producing a scattergram | p. 144 |
Pearson's r. parametric test of correlation | p. 152 |
Spearman's r_{s} nonparametric test of correlation | p. 156 |
Tests for nominal data | p. 161 |
Nominal data and dichotomous variables | p. 163 |
Chi-square tests versus the chi-square distribution | p. 165 |
The goodness-of-fit chi-square | p. 166 |
The multi-dimensional chi-square | p. 167 |
The McNemar test for repeated measures | p. 180 |
Analysis of variance | p. 189 |
An introduction to Analysis of Variance (ANOVA) | p. 191 |
One-way between-subjects ANOVA | p. 201 |
Two-way between-subjects ANOVA | p. 209 |
One-way within-subjects ANOVA | p. 213 |
Two-way within-subjects ANOVA | p. 219 |
Mixed ANOVA | p. 229 |
Some additional points | p. 235 |
Planned and unplanned comparisons | p. 238 |
Nonparametric equivalents to one-way ANOVA: KruskalùWallis and Friedman | p. 246 |
Bivariate and multiple regression | p. 253 |
An introduction to regression | p. 255 |
Bivariate regression | p. 256 |
Multiple regression | p. 264 |
Performing multiple regression on SPSS | p. 273 |
Analysis of covariance and multivariate analysis of variance | p. 293 |
An introduction to analysis of covariance | p. 295 |
Performing analysis of covariance on SPSS | p. 299 |
An introduction to multivariate analysis of variance | p. 309 |
Performing multivariate analysis of variance on SPSS | p. 313 |
Discriminant analysis and logistic regression | p. 321 |
Discriminant analysis and logistic regression | p. 323 |
An introduction to discriminant analysis | p. 325 |
Performing discriminant analysis on SPSS | p. 328 |
An introduction to logistic regression | p. 341 |
Performing logistic regression on SPSS | p. 342 |
Factor analysis, and reliability and 351dimensionality of scales | |
An introduction to factor analysis | p. 353 |
Performing a basic factor analysis on SPSS | p. 363 |
Other aspects of factor analysis | p. 377 |
Reliability analysis for scales and questionnaires | p. 382 |
Dimensionality of scales and questionnaires | p. 388 |
Beyond the basics | p. 393 |
The Syntax window | p. 395 |
Option settings in SPSS | p. 402 |
Getting help in SPSS | p. 404 |
Printing from SPSS | p. 406 |
Incorporating SPSS output into other documents and exporting output | p. 408 |
Glossary | p. 411 |
References | p. 427 |
Appendix | p. 431 |
Index | p. 465 |
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