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## Questions About This Book?

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This is the 5th edition with a publication date of 7/23/2012.

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## Summary

With over 50,000 copies sold, the new edition of this best-selling guide carefully leads the user through the process of using SPSS version 20 to analyze psychological data. The authors review the basic issues regarding design and proceed through all of the major statistical techniques used in psychology, from introductory to advanced level. Noted for its comprehensive coverage, clarity, and flexibility, this book is an indispensable resource for students at all levels. With its student-friendly layout, accessible style, and unbeatable coverage, it provides a step-by-step tour of SPSS. Written especially for psychology students, this book shows readers how to get the most out of SPSS. A number of sample exercises, datasets and other useful resources can be found at www.palgrave.com/psychology/brace. This 5th Edition: features a color layout and chapter tabs for easy reading and navigation displays annotated screenshots and key 'tip' boxes to help students track their progress and avoid common pitfalls provides expanded coverage of graphing and guides students through reporting the outcome of statistical analysis sets SPSS in the context of research design and statistics, and discusses the rationale and use of each test throughout. Key Features of the new edition: Fully updated to cover SPSS version 20 and backward-compatible with other versions New material on bivariate (simple) regression and expanded coverage of multiple regression Two new SPSS data files for several complex statistical inferential tests New 'How to report results' boxes guide students through their findings Accessible layout and writing style, perfect for students The book reviews advanced statistical material such as ANCOVA, factor analysis, logistic regression, and discriminant analysis as well as issues related to research design, data entry, data handling, data manipulation and modification in SPSS; how to calculate basic statistical procedures using SPSS; tests of difference for two sample designs, tests of correlation, and tests for nominal and categorical data; and tests for experiments involving complex designs or for data obtained using surveys. SPSS for Psychologists, 5theditioncovers SPSS version 20, but is also appropriate for earlier versions. The book highlights the differences between the versions and includes coverage of reliability measures, partial correlations, and using statistics for scale constructions.

## Author Biography

Nicola Brace is Senior Lecture in Psychology at the Open University, UK. Richard Kemp is Associate Professor in Psychology at the University of New South Wales, Sydney, Australia. Rosemary Snelgar is Principal Lecturer in Psychology at the University of Westminster, UK.

## Table of Contents

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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