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# Analysis without Anguish with SPSS V20

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This latest edition is based on Version 20.0 of SPSS for Windows. It serves as a useful guide for both the beginner and experienced users of the software, with extensive screen displays and step-by-step examples.

This edition of SPSS: Analysis without Anguish continues the trend of previous editions in providing a practical text intended as an introduction to IBM SPSS Statistics 20 and a guide for Windows users who wish to conduct analytical procedures. IBM SPSS Statistics 20 is a sophisticated piece of software used by social scientists and related professionals for statistical analysis. Extensive use of screen displays and a range of step-by-step working and practice examples remain features of the workbook. SPSS: Analysis without Anguish Version 20.0 for Windows is suitable for a range of disciplines, including business, health, social sciences, environmental science and geography.

ISBN | 111833776 |

ISBN13 | 9781118337769 |

Publisher | John Wiley & Sons Inc |

Format | Paperback |

Publication date | 11/12/2012 |

Pages | 296 |

Weight (grammes) | 795 |

Published in | United States |

Height (mm) | |

Width (mm) |

Preface vi

SECTION 1 How to use SPSS 1

CHAPTER 1 Introduction to SPSS 3 Getting started 3 The SPSS environment 4

CHAPTER 2 Preparation of data files 27 Working example 27 Defining variables 27

CHAPTER 3 Data screening and transformation 37 Working example 37 Errors in data entry 38 Assessing normality 39 Assessing normality by group 44 Variable transformation 44 Data transformation 50

CHAPTER 4 Descriptive statistics 58 Frequency distributions 58 Measures of central tendency and variability 58 Working example 58 The Descriptives command 62

CHAPTER 5 Correlation 64 Assumption testing 64 Working example 65

CHAPTER 6 t-tests 69 Assumption testing 69 Working example 69 The one-sample t-test 70 t-tests with more than one sample 71 Repeated-measures t-test 72 The independent-groups t-test 73

CHAPTER 7 One-way between-groups ANOVA with post-hoc comparisons 79 Assumption testing 79 Working example 80

CHAPTER 8 One-way between-groups ANOVA with planned comparisons 84 Assumption testing 85 Working example 85

CHAPTER 9 Two-way between-groups ANOVA 89 Assumption testing 89 Working example 90

CHAPTER 10 One-way repeated-measures ANOVA 97 Assumption testing 97 Working example 97

CHAPTER 11 Two-way repeated-measures ANOVA 102 Assumption testing 102 Working example 102

CHAPTER 12 Trend analysis 107 Assumption testing 107 Working example 107

CHAPTER 13 Mixed/split plot design (SPANOVA) 111 Assumption testing 111 Working example 111

CHAPTER 14 One-way analysis of covariance (ANCOVA) 117 Assumption testing 117 Working example 118

CHAPTER 15 Reliability analysis 124 Working example 124

CHAPTER 16 Factor analysis 128 Assumption testing 129 Working example 129

CHAPTER 17 Multiple regression 139 Assumption testing 140 Working example 140

CHAPTER 18 Multiple analysis of variance (MANOVA) 151 Assumption testing 151 Working example 152 Data screening 153

CHAPTER 19 Nonparametric techniques 161 Chi-square tests 161 Assumption testing 161 Working example -- chi-square test for goodness of fit 162 Working example -- chi-square test for relatedness or independence 166 Mann-Whitney U test (Wilcoxon rank sum W test) 170 Working example 170 Wilcoxon signed-rank test 172 Working example 172 Kruskal-Wallis test 175 Working example 175 Friedman test 178 Working example 178 Spearman's rank-order correlation 181 Working example 181

CHAPTER 20 Multiple response analysis and multiple dichotomy analysis 184 Multiple response analysis 184 Working example 185 Multiple dichotomy analysis 188 Working example 188

CHAPTER 21 Multidimensional scaling 193 Working example 193

CHAPTER 22 Working with output 201 Editing output in the SPSS Viewer 201 SECTION 2 Analysing data with IBM SPSS 217

CHAPTER 23 Introduction and research questions 219 Working example 219

CHAPTER 24 Practising analytical techniques 251 Section 1: Short homework exercises 251

SECTION 3 Further practice 259

CHAPTER 25 Extra practice 261 Practice example 2: Preparation of data files 262 Practice example 3: Data screening and transformation 263 Practice example 4: Descriptive statistics 263 Practice example 5: Correlation 264 Practice example 6: t-tests 264 Practice example 7: One-way between-groups ANOVA with post-hoc comparisons 264 Practice example 8: One-way between-groups ANOVA with planned comparisons 265 Practice example 9: Two-way between-groups ANOVA 265 Practice example 10: One-way repeatedmeasures ANOVA 265 Practice example 11: Two-way repeatedmeasures ANOVA 265 Practice example 12: Trend analysis 266 Practice example 13: Mixed/split plot design (SPANOVA) 266 Practice example 14: One-way analysis of covariance (ANCOVA) 266 Practice example 15: Reliability analysis 267 Practice example 16: Factor analysis 267 Practice example 17: Regression 267 Practice example 18: MANOVA 268 Practice examples 19a-19g: Nonparametric tests 268

Appendix 271 Index 277