Brochure More information from http://www.researchandmarkets.com/reports/3089799/ SPSS Version 20.0 for Windows. Analysis without Anguish Description: 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. Features - Updated screen displays re ect output from IBM SPSS Statistics 20. - Spiral binding ensures ease of use at the computer. - Data les are available from the accompanying text website. - Adopting lecturers have access to all of the book s screen displays for lecture presentation from the lecturer website. - Three comprehensive sections: Section 1 introduces students to many of the features and techniques available within the IBM SPSS Statistics 20 package. Section 2 enables students to interrogate a real life data le and perform a range of analyses. Section 3 contains a wealth of examples to provide students with extra practice. Contents: 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 Ordering: Order Online - http://www.researchandmarkets.com/reports/3089799/ Order by Fax - using the form below Order by Post - print the order form below and send to Research and Markets, Guinness Centre, Taylors Lane, Dublin 8, Ireland.
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