Analysis Without Anguish with SPSS V20

 

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Analysis Without Anguish with SPSS V20


by Sheridan J. Coakes (Author)

 

Paperback

ISBN: 9781118337769

 

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* A practical text intended as an introduction to IBM SPSS Statistics 20 and a guide for Windows users who wish to conduct analytical procedures. * Features extensive use of screen displays and a range of step-by-step working and practice examples. * Spiral bound to ensure ease of use at the computer.


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. <p>Extensive use of screen displays and a range of step-by-step working and practice examples remain features of the workbook. <p> 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) 808
Published in United States
Height (mm) 293
Width (mm) 223

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Preface vi <
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SECTION 1 How to use SPSS 1 <
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CHAPTER 1 Introduction to SPSS 3 Getting started 3 The SPSS environment 4 <
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CHAPTER 2 Preparation of data files 27 Working example 27 Defining variables 27 <
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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 <
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CHAPTER 4 Descriptive statistics 58 Frequency distributions 58 Measures of central tendency and variability 58 Working example 58 The Descriptives command 62 <
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CHAPTER 5 Correlation 64 Assumption testing 64 Working example 65 <
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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 <
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CHAPTER 7 One-way between-groups ANOVA with post-hoc comparisons 79 Assumption testing 79 Working example 80 <
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CHAPTER 8 One-way between-groups ANOVA with planned comparisons 84 Assumption testing 85 Working example 85 <
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CHAPTER 9 Two-way between-groups ANOVA 89 Assumption testing 89 Working example 90 <
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CHAPTER 10 One-way repeated-measures ANOVA 97 Assumption testing 97 Working example 97 <
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CHAPTER 11 Two-way repeated-measures ANOVA 102 Assumption testing 102 Working example 102 <
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CHAPTER 12 Trend analysis 107 Assumption testing 107 Working example 107 <
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CHAPTER 13 Mixed/split plot design (SPANOVA) 111 Assumption testing 111 Working example 111 <
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CHAPTER 14 One-way analysis of covariance (ANCOVA) 117 Assumption testing 117 Working example 118 <
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CHAPTER 15 Reliability analysis 124 Working example 124 <
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CHAPTER 16 Factor analysis 128 Assumption testing 129 Working example 129 <
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CHAPTER 17 Multiple regression 139 Assumption testing 140 Working example 140 <
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CHAPTER 18 Multiple analysis of variance (MANOVA) 151 Assumption testing 151 Working example 152 Data screening 153 <
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CHAPTER 19 Nonparametric techniques 161 Chi-square tests 161 Assumption testing 161 Working example

chi-square test for goodness of fit162 Working example

chi-square test for relatedness orindependence 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 <
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CHAPTER 20 Multiple response analysis and multiple dichotomy analysis184 Multiple response analysis 184 Working example 185 Multiple dichotomy analysis 188 Working example 188 <
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CHAPTER 21 Multidimensional scaling 193 Working example 193 <
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CHAPTER 22 Working with output 201 Editing output in the SPSS Viewer 201 SECTION 2 Analysing data with IBM SPSS 217 <
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CHAPTER 23 Introduction and research questions 219 Working example 219 <
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CHAPTER 24 Practising analytical techniques 251 Section 1: Short homework exercises 251 <
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SECTION 3 Further practice 259 <
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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 <
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Appendix 271 Index 277