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Book Details
Abstract
With over 50,000 copies sold, this is the indispensable guide to SPSS. With its student-friendly layout, accessible style and unbeatable coverage, it provides you with a step-by-step tour and equips you with the knowledge you need to succeed in your degree. Written especially for psychology students, this book shows you how to get the most out of SPSS, and will be an essential resource no matter what your level of study is.
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
In addition, a number of sample exercises, datasets and other useful resources can be found at www.palgrave.com/psychology/brace
Nicola Brace is Senior Lecturer in Psychology at the Open University, UK
Richard Kemp is Associate Professor in Psychology at the University of New South Wales, Australia
Rosemary Sneglar is Principal Lecturer in Psychology at the University of Westminster, UK
Fully updated and expanded, the new edition of this bestseller guides readers step-by-step through the main statistical techniquesin the latest version of SPSS
Praise for the new fifth edition:
'Detailed, thorough and easy to follow - everything undergraduate students need and a bit more.' - Ana Fernandez, Senior Lecturer in Psychology, Canterbury Christ Church University, UK
'An excellent introductory resource for students. The authors provide a user-friendly approach to help students decide which statistical tests to use and when, how to perform the analysis, interpret the output, and report the results without overwhelming them with too much formula.' - Claire Hart, Lecturer in Psychology, University of Southampton, UK
'SPSS for Psychologists is an absolute must have text if you are serious about understanding the power of SPSS as a tool that skilfully presents quantitative data analysis. The authors critically present informative explanations that enable each of us, students and lecturers alike, to understand the use of this quantitative tool.' - Catherine O'Reilly, Institute of Public Administration, Dublin 4 Ireland
'Written quite brilliantly... I love it. All the stats you need up to and past your degree.' - Graham Edgar, Reader in Psychology, Gloucestershire University, UK
Table of Contents
| Section Title | Page | Action | Price |
|---|---|---|---|
| Front Cover\r | Front Cover | ||
| Title Page\r | iii | ||
| Dedication\r | xv | ||
| Table of Contents | v | ||
| Preface | ix | ||
| Acknowledgements | xiii | ||
| Chapter 1 Introduction\r | 2 | ||
| Section 1: Psychological research and SPSS\r | 3 | ||
| Section 2: Guide to the statistical tests covered\r | 14 | ||
| Section 3: Working with SPSS\r | 15 | ||
| Section 4: Starting SPSS\r | 17 | ||
| Section 5: How to exit SPSS \r | 20 | ||
| Section 6: Some useful option settings in SPSS\r | 21 | ||
| Chapter 2 Data entry in SPSS\r | 24 | ||
| Section 1: The Data Editor window\r | 25 | ||
| Section 2: Defining a variable in SPSS\r | 26 | ||
| Section 3: Entering data\r | 38 | ||
| Section 4: Saving a data file\r | 41 | ||
| Section 5: Opening a data file\r | 43 | ||
| Section 6: Data entry exercises\r | 45 | ||
| Section 7: Answers to data entry exercises\r | 48 | ||
| Chapter 3 Exploring data in SPSS\r | 52 | ||
| Section 1:\r Descriptive statistics | 53 | ||
| Section 2: The Descriptives command\r | 54 | ||
| Section 3: The Viewer window \r | 58 | ||
| Section 4: The Frequencies command 62\r | 62 | ||
| Section 5: The Explore command\r | 67 | ||
| Section 6: Introducing graphing in SPSS\r | 76 | ||
| Section 7: Chart Builder\r | 78 | ||
| Section 8: Graphboard Template Chooser\r | 84 | ||
| Chapter 4 Data handling\r | 90 | ||
| Section 1: An introduction to data handling\r | 91 | ||
| Section 2: Sorting a file\r | 92 | ||
| Section 3: Splitting a file\r | 94 | ||
| Section 4: Selecting cases\r | 96 | ||
| Section 5: Recoding values\r | 100 | ||
| Section 6: Computing new variables\r | 105 | ||
| Section 7: Counting values\r | 108 | ||
| Section 8: Ranking cases\r | 110 | ||
| Section 9: Data file for scales or questionnaires\r | 113 | ||
| Chapter 5 Tests of difference for two sample designs\r | 118 | ||
| Section 1: An introduction to the t-test\r | 119 | ||
| Section 2: The independent t-test\r | 120 | ||
| Section 3: The paired t-test\r | 129 | ||
| Section 4: An introduction to the nonparametric equivalents of \rthe t-test | 133 | ||
| Section 5: The Mann–Whitney test\r | 134 | ||
| Section 6: The Wilcoxon test\r | 137 | ||
| Chapter 6 Tests of correlation\r | 142 | ||
| Section 1: An introduction to tests of correlation\r | 143 | ||
| Section 2: Producing a scattergram\r | 144 | ||
| Section 3: Pearson’s r: parametric test of correlation\r | 152 | ||
| Section 4: Spearman’s rs: nonparametric test of correlation \r | 156 | ||
| Chapter 7 Tests for nominal data\r | 162 | ||
| Section 1: Nominal data and dichotomous variables\r | 163 | ||
| Section 2: Chi-square tests versus the chi-square distribution\r | 165 | ||
| Section 3: The goodness-of-fit chi-square\r | 166 | ||
| Section 4: The multi-dimensional chi-square\r | 167 | ||
| Section 5:\r The McNemar test for repeated measures | 180 | ||
| Chapter 8 Analysis of variance\r | 190 | ||
| Section 1: An introduction to Analysis of Variance (ANOVA)\r | 191 | ||
| Section 2: One-way between-subjects ANOVA\r | 201 | ||
| Section 3: Two-way between-subjects ANOVA\r | 209 | ||
| Section 4: One-way within-subjects ANOVA\r | 213 | ||
| Section 5: Two-way within-subjects ANOVA\r | 219 | ||
| Section 6: Mixed ANOVA\r | 229 | ||
| Section 7: Some additional points\r | 235 | ||
| Section 8: Planned and unplanned comparisons\r | 238 | ||
| Section 9: Nonparametric equivalents to one-way ANOVA: \rKruskal–Wallis and 246\rFriedman | 246 | ||
| Chapter 9 Bivariate and multiple regression\r | 254 | ||
| Section 1: An introduction to regression\r | 255 | ||
| Section 2: Bivariate regression\r | 256 | ||
| Section 3: Multiple regression\r | 264 | ||
| Section 4: Performing multiple regression on SPSS\r | 273 | ||
| Chapter 10 Analysis of covariance and multivariate analysis of variance\r | 294 | ||
| Section 1: An introduction to analysis of covariance\r | 295 | ||
| Section 2: Performing analysis of covariance on SPSS\r | 299 | ||
| Section 3: An introduction to multivariate analysis of variance\r | 309 | ||
| Section 4: Performing multivariate analysis of variance on \rSPSS | 313 | ||
| Chapter 11 Discriminant analysis and logistic regression\r | 322 | ||
| Section 1: Discriminant analysis and logistic regression\r | 323 | ||
| Section 2: An introduction to discriminant analysis\r | 325 | ||
| Section 3: Performing discriminant analysis on SPSS\r | 328 | ||
| Section 4: An introduction to logistic regression\r | 341 | ||
| Section 5: Performing logistic regression on SPSS | 342 | ||
| Chapter 12 Factor analysis, and reliability and dimensionality of scales\r | 352 | ||
| Section 1: An introduction to factor analysis\r | 353 | ||
| Section 2: Performing a basic factor analysis on SPSS\r | 363 | ||
| Section 3: Other aspects of factor analysis\r | 377 | ||
| Section 4: Reliability analysis for scales and questionnaires \r | 382 | ||
| Section 5: Dimensionality of scales and questionnaires\r | 388 | ||
| Chapter 13 Beyond the basics\r | 394 | ||
| Section 1: The Syntax window\r | 395 | ||
| Section 2: Option settings in SPSS\r | 402 | ||
| Section 3: Getting help in SPSS\r | 404 | ||
| Section 4: Printing from SPSS\r | 406 | ||
| Section 5: Incorporating SPSS output into other documents and exporting 408\routput\r | 408 | ||
| Glossary | 412 | ||
| References | 428 | ||
| Appendix | 431 | ||
| Index | 465 |