SPSS Statistics Version 22: A Practical Guide

✍ Scribed by Brody Heritage

Publisher: Cengage Learning EMEA
Year: 2014
Tongue: English
Leaves: 326
Edition: 3
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

SPSS is enormously powerful – and challenging to learn. This popular handbook lets students get hands on with the statistical procedures they need. Screen shots, step-by-step guidance and examples with annotated outputs help students learn. For students of psychology, marketing and research in any discipline. An essential practical guide to using SPSS.

✦ Table of Contents

allen_bennett_sb_48973 2Imprint
allen_bennett_sb_48973 3CONTENTS
Table of Contents
Preface xi
Acknowledgements xiv
Providing Feedback xiv
About the Authors xiv
Chapter 1: Getting Started With SPSS Statistics 1
Chapter 2: Working With Data 7
Chapter 3: Summarising and Displaying Data 19
Chapter 4: One Sample t Test 33
Chapter 5: Independent Samples t Test 47
Chapter 6: Paired Samples t Test 61
Chapter 7: One-Way Between Groups ANOVA 75
Chapter 8: Factorial Between Groups ANOVA 91
Chapter 9: One-Way Repeated Measures ANOVA and Mixed Model ANOVA 109
Chapter 10: One-Way Analysis of Covariance (ANCOVA) 127
Chapter 11: Multivariate Analysis of Variance (MANOVA) 145
Chapter 12: Correlation 167
Chapter 13: Multiple Regression 179
Chapter 14: Logistic Regression 199
Chapter 15: Factor Analysis 213
Chapter 16: Reliability Analysis 225
Chapter 17: Non-Parametric Procedures 239
17.1. Introduction 239
17.2. Chi-Square ((2) Test for Goodness of Fit 240
17.3. Chi-Square ((2) Test of Contingencies 246
17.4. Mann-Whitney U Test 254
17.5. McNemar Test of Change 260
17.6. Wilcoxon Signed Rank Test 265
17.7. Kruskal-Wallis One-Way ANOVA 271
17.8. Cochran’s Q Test 277
17.9. Friedman Two-Way ANOVA 282
17.10. Cramer’s V 288
17.11. Spearman’s Rho and Kendall’s Tau-B 290
17.12. Non-Parametric Checklist 294
Chapter 18: Working with Syntax 295
References 301
Index 303
allen_bennett_sb_48973 4PREFACE
Preface
About IBM SPSS Statistics Version 22
About This Book
Some Final Comments
Acknowledgements
Providing Feedback
About the Authors
allen_bennett_sb_48973_01
Chapter 1: Getting Started With SPSS Statistics
Chapter Overview
1.1. Introduction
1.2. SPSS Statistics Data Editor
1.2.1. Data View
1.2.2. Variable View
1.3. Creating a Data File
1.4. Conclusion
allen_bennett_sb_48973_02
Chapter 2: Working With Data
Chapter Overview
2.1. Introduction
2.2. Compute
2.2.1. Illustrated Example
2.3. Recode
2.3.1. Illustrated Example
2.4. Missing Value Analysis
2.4.1. Illustrated Example
2.5. Split File
2.5.1. Illustrated Example
2.6. Select Cases
2.6.1. Illustrated Example
2.7. Conclusion
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Chapter 3: Summarising and Displaying Data
Chapter Overview
3.1. Introduction
3.2. Frequencies
3.2.1. Illustrated Example
3.2.1.1. SPSS Statistics Procedure
3.2.1.2. SPSS Statistics Output
3.2.1.3. The SPSS Statistics Viewer
3.3. Descriptives
3.3.1. Illustrated Example
3.3.1.1. SPSS Statistics Procedure
3.3.1.2. SPSS Statistics Output
3.4. Explore
3.4.1. Illustrated Example
3.4.1.1. SPSS Statistics Procedure
3.4.1.2. SPSS Statistics Output
3.4.1.3. The SPSS Statistics Chart Editor
3.5. Chart Builder
3.5.1. Illustrated Example
3.6. Conclusion
allen_bennett_sb_48973_04
Chapter 4: One Sample t Test
Chapter Overview
4.1. Purpose of the One Sample t Test
4.2. Questions We Could Answer Using the One Sample t Test
4.3. Illustrated Example One
4.3.1. Setting Up the SPSS Statistics Data File
4.3.2. Analysing the Data
4.3.2.1. Assumptions
4.3.2.2. SPSS Statistics Procedure (Part 1: Normality)
4.3.2.3. SPSS Statistics Output (Part 1: Normality)
4.3.2.4. SPSS Statistics Procedure (Part 2: One Sample t Test)
4.3.2.5. SPSS Statistics Output (Part 2: One Sample t Test)
4.3.3. Follow-Up Analyses
4.3.3.1. Effect Size
4.3.4. APA Style Results Write-Up
4.3.5. Summary
4.4. Illustrated Example Two
4.4.1. SPSS Statistics Output (Part 1: Normality)
4.4.2. SPSS Statistics Output (Part 2: One Sample t Test)
4.4.3. Follow-Up Analyses
4.4.3.1. Effect Size
4.4.4. APA Style Results Write-Up
4.5. One Sample t Test Checklist
allen_bennett_sb_48973_05
Chapter 5: Independent Samples t Test
Chapter Overview
5.1. Purpose of the Independent Samples t Test
5.2. Questions We Could Answer Using the Independent Samples t Test
5.3. Illustrated Example One
5.3.1. Setting Up the SPSS Statistics Data File
5.3.2. Analysing the Data
5.3.2.1. Assumptions
5.3.2.2. SPSS Statistics Procedure (Part 1: Normality)
5.3.2.3. SPSS Statistics Output (Part 1: Normality)
5.3.2.4. SPSS Statistics Procedure (Part 2: Homogeneity of Variance and the t Test)
5.3.2.5. SPSS Statistics Output (Part 2: Homogeneity of Variance and the t Test)
5.3.3. Follow-Up Analyses
5.3.3.1. Effect Size
5.3.4. APA Style Results Write-Up
5.3.5. Summary
5.4. Illustrated Example Two
5.4.1. SPSS Statistics Output (Part 1: Normality)
5.4.2. SPSS Statistics Output (Part 2: Homogeneity of Variance and the t Test)
5.4.3. Follow-Up Analyses
5.4.3.1. Effect Size
5.4.4. APA Style Results Write-Up
5.5. Independent Samples t Test Checklist
allen_bennett_sb_48973_06
Chapter 6: Paired Samples t Test
Chapter Overview
6.1. Purpose of the Paired Samples t Test
6.2. Questions We Could Answer Using the Paired Samples t Test
6.3. Illustrated Example One
6.3.1. Setting Up the SPSS Statistics Data File
6.3.2. Analysing the Data
6.3.2.1. Assumptions
6.3.2.2. SPSS Statistics Procedure (Part 1: Normality and Normality of Difference Scores)
6.3.2.3. SPSS Statistics Output (Part 1: Normality and Normality of Difference Scores)
6.3.2.4. SPSS Statistics Procedure (Part 2: Paired Samples t Test)
6.3.2.5. SPSS Statistics Output (Part 2: Paired Samples t Test)
6.3.3. Follow-Up Analyses
6.3.3.1. Effect Size
6.3.4. APA Style Results Write-Up
6.3.5. Summary
6.4. Illustrated Example Two
6.4.1. SPSS Statistics Output (Part 1: Normality and Normality of Difference Scores)
6.4.2. SPSS Statistics Output (Part 2: Paired Samples t Test)
6.4.3. Follow-Up Analyses
6.4.3.1. Effect Size
6.4.4. APA Style Results Write-Up
6.5. Paired Samples t Test Checklist
allen_bennett_sb_48973_07
Chapter 7: One-Way Between Groups ANOVA
Chapter Overview
7.1. Purpose of the One-Way Between Groups ANOVA
7.2. Questions We Could Answer Using the One-Way Between Groups ANOVA
7.3. Illustrated Example One
7.3.1. Setting Up the SPSS Statistics Data File
7.3.2. Analysing the Data
7.3.2.1. Assumptions
7.3.2.2. SPSS Statistics Procedure (Part 1: Normality)
7.3.2.3. SPSS Statistics Output (Part 1: Normality)
7.3.2.5. SPSS Statistics Output (Part 2: Homogeneity of Variance and the ANOVA)
7.3.3. Follow-Up Analyses
7.3.3.1. Effect Size
7.3.3.1.1. Effect Size Calculations for the Omnibus ANOVA
7.3.3.1.2. Effect Size Calculations for the Contrasts and Comparisons
7.3.4. APA Style Results Write-Up
7.3.5. Summary
7.4. Illustrated Example Two
7.4.1. SPSS Statistics Output (Part 1: Normality)
7.4.2. SPSS Statistics Output (Part 2: Homogeneity of Variance and the ANOVA)
7.4.3. Follow-Up Analyses
7.4.3.1. Effect Size
7.4.4. APA Style Results Write-Up
7.5. One-Way Between Groups ANOVA Checklist
allen_bennett_sb_48973_08
Chapter 8: Factorial Between Groups ANOVA
Chapter Overview
8.1. Purpose of the Factorial Between Groups ANOVA
8.2. Questions We Could Answer Using the Factorial Between Groups ANOVA
8.3. Illustrated Example One
8.3.1. Setting Up the SPSS Statistics Data File
8.3.2. Analysing the Data
8.3.2.1. Assumptions
8.3.2.2. SPSS Statistics Procedure (Part 1: Normality)
8.3.2.3. SPSS Statistics Output (Part 1: Normality)
8.3.2.4. SPSS Statistics Procedure (Part 2: Homogeneity of Variance and the ANOVA)
8.3.2.5. SPSS Statistics Output (Part 2: Homogeneity of Variance and the ANOVA)
8.3.3. Follow-Up Analyses
8.3.3.1. Simple Effects and Comparisons
8.3.3.2. Effect Size (Omega-Squared)
8.3.4. APA Style Results Write-Up
8.4. Illustrated Example Two
8.4.1. SPSS Statistics Output
8.4.2. APA Style Results Write-Up
8.5. Conclusion
8.6. Factorial Between Groups ANOVA Checklist
allen_bennett_sb_48973_09
Chapter 9: One-Way Repeated Measures ANOVA and Mixed Model ANOVA
Chapter Overview
9.1. Introduction
9.2. One-Way Repeated Measures ANOVA
9.3. Questions We Could Answer Using the One-Way Repeated Measures ANOVA
9.4. Illustrated Example
9.4.1. Setting Up the SPSS Statistics Data File
9.4.2. Analysing the Data
9.4.2.1. Assumptions
9.4.2.2. SPSS Statistics Procedure (Part 1: Normality)
9.4.2.3. SPSS Statistics Output (Part 1: Normality)
9.4.2.4. SPSS Advanced Statistics Procedure (Part 2: Homogeneity of Variance, Sphericity and the ANOVA)
9.4.2.5. SPSS Advanced Statistics Output (Part 2: Homogeneity of Variance, Sphericity and the ANOVA)
9.4.3. APA Style Results Write-Up
9.5. Mixed Model ANOVA
9.6. Questions We Could Answer Using the Mixed Model ANOVA
9.7. Illustrated Example
9.7.1. Setting Up the SPSS Statistics Data File
9.7.2. Analysing the Data
9.7.2.1. SPSS Advanced Statistics Procedure (Homogeneity of Variance, Sphericity and the Mixed Model ANOVA)
9.7.2.2. SPSS Advanced Statistics Output (Homogeneity of Variance, Sphericity and the Mixed Model ANOVA)
9.7.3. APA Style Results Write-Up
9.8. One-Way Repeated Measures and Mixed Model ANOVA Checklist
allen_bennett_sb_48973_10
Chapter 10: One-Way Analysis of Covariance (ANCOVA)
Chapter Overview
10.1. Purpose of the One-Way ANCOVA
10.2. Questions We Could Answer Using the One-Way ANCOVA
10.3. Illustrated Example One
10.3.1. Setting Up the SPSS Statistics Data File
10.3.2. Analysing the Data
10.3.2.1. Assumptions
10.3.2.2. SPSS Statistics Procedure (Part 1: Normality)
10.3.2.3. SPSS Statistics Output (Part 1: Normality)
10.3.2.4. SPSS Statistics Procedure (Part 2: Homogeneity of Regression Slopes)
10.3.2.5. SPSS Statistics Output (Part 2: Homogeneity of Regression Slopes)
10.3.2.6. SPSS Statistics Procedure (Part 3: Linearity)
10.3.2.7. SPSS Statistics Output (Part 3: Linearity)
10.3.2.8. SPSS Statistics Procedure (Part 4: Homogeneity of Variance and the ANCOVA)
10.3.2.9. SPSS Statistics Output (Part 4: Homogeneity of Variance and the ANCOVA)
10.3.3. APA Style Results Write-Up
10.3.4. Summary
10.4. Illustrated Example Two
10.4.1. SPSS Statistics Output (Part 1: Normality)
10.4.2. SPSS Statistics Output (Part 2: Homogeneity of Regression Slopes)
10.4.3. SPSS Statistics Output (Part 3: Linearity)
10.4.4. SPSS Statistics Output (Part 4: Homogeneity of Variance and the ANCOVA)
10.4.5. APA Style Results Write-Up
10.5. One-Way ANCOVA Checklist
allen_bennett_sb_48973_11
Chapter 11: Multivariate Analysis of Variance (MANOVA)
Chapter Overview
11.1. Purpose of the MANOVA
11.2. Questions We Could Answer Using the MANOVA
11.3. Illustrated Example One
11.3.1. Setting Up the SPSS Statistics Data File
11.3.2. Analysing the Data
11.3.2.1. Assumptions
11.3.2.2. SPSS Statistics Procedure (Part 1: Univariate Normality)
11.3.2.3. SPSS Statistics Output (Part 1: Univariate Normality)
11.3.2.4. SPSS Statistics Procedure (Part 2: Multicollinearity and Multivariate Outliers)
11.3.2.5. SPSS Statistics Output (Part 2: Multicollinearity and Multivariate Outliers)
11.3.2.6. SPSS Statistics Procedure (Part 3: Linearity)
11.3.2.7. SPSS Statistics Output (Part 3: Linearity)
11.3.2.8. SPSS Advanced Statistics Procedure (Part 4: Homogeneity of Variance-Covariance and the MANOVA)
11.3.2.9. SPSS Advanced Statistics Output (Part 4: Homogeneity of Variance-Covariance and the MANOVA)
11.3.3. APA Style Results Write-Up
11.3.4. Summary
11.4. Illustrated Example Two
11.4.1. SPSS Statistics Output (Part 1: Univariate Normality)
11.4.2. SPSS Statistics Output (Part 2: Multicollinearity and Multivariate Outliers)
11.4.3. SPSS Statistics Output (Part 3: Linearity)
11.4.4. SPSS Advanced Statistics Output (Part 4: Homogeneity of Variance-Covariance and the MANOVA)
11.4.5. APA Style Results Write-Up
11.5. MANOVA Checklist
allen_bennett_sb_48973_12
Chapter 12: Correlation
Chapter Overview
12.1. Purpose of Correlation
12.2. Questions We Could Answer Using Correlation
12.3. Illustrated Example One: Bivariate Correlation
12.3.1. Setting Up the SPSS Statistics Data File
12.3.2. Analysing the Data
12.3.2.1. Assumptions
12.3.2.2. SPSS Statistics Procedure (Part 1: Normality)
12.3.2.3. SPSS Statistics Output (Part 1: Normality)
12.3.2.4. SPSS Statistics Procedure (Part 2: Linearity and Homoscedasticity)
12.3.2.5. SPSS Statistics Output (Part 2: Linearity and Homoscedasticity)
12.3.2.6. SPSS Statistics Procedure (Part 3: Correlation)
12.3.2.7. SPSS Statistics Output (Part 3: Correlation)
12.3.3. Follow-Up Analyses
12.3.3.1. Effect Size
12.3.4. APA Style Results Write-Up
12.3.5. Summary
12.4. Illustrated Example Two: Partial Correlation
12.4.1. SPSS Statistics Procedure
12.4.2. SPSS Statistics Output
12.4.3. APA Style Results Write-Up
12.5. Correlation Checklist
allen_bennett_sb_48973_13
Chapter 13: Multiple Regression
Chapter Overview
13.1. Purpose of Multiple Regression
13.2. Questions We Could Answer Using Multiple Regression
13.3. Illustrated Example One: Standard Multiple Regression
13.3.1. Setting Up the SPSS Statistics Data File
13.3.2. Analysing the Data
13.3.2.1. Assumptions
13.3.2.2. SPSS Statistics Procedure (Part 1: Normality and Univariate Outliers)
13.3.2.3. SPSS Statistics Output (Part 1: Normality and Univariate Outliers)
13.3.2.4. SPSS Statistics Procedure (Part 2: The Remaining Assumptions and the Standard Multiple Regression)
13.3.2.5. SPSS Statistics Output (Part 2: The Remaining Assumptions and the Standard Multiple Regression)
13.3.3. Follow-Up Analyses
13.3.3.1. Effect Size
13.3.4. APA Style Results Write-Up
13.3.5. Summary
13.4. Illustrated Example Two: Hierarchical Multiple Regression
13.4.1. Setting Up the SPSS Statistics Data File
13.4.2. Analysing the Data
13.4.2.1. Assumptions
13.4.2.2. SPSS Statistics Procedure
13.4.2.3. SPSS Statistics Output
13.4.3. Follow-Up Analyses
13.4.3.1. Effect Size
13.4.4. APA Style Results Write-Up
13.5. Multiple Regression Checklist
allen_bennett_sb_48973_14
Chapter 14: Logistic Regression
Chapter Overview
14.1. Purpose of Logistic Regression
14.2. Questions We Could Answer Using Logistic Regression
14.3. Illustrated Example
Note. L = Left or Turnover (0 = Did not leave, 1 = Left workplace), JS = Job satisfaction (1 to 7 scale, higher numbers represent higher job satisfaction), WL = Workload (1 to 7 scale, higher numbers represent higher perceived workload), FT = Full-tim...
14.3.1. Setting Up the SPSS Statistics Data File
14.3.2. Analysing the Data
14.3.2.1. Assumptions
14.3.2.2. SPSS Statistics Procedure (Part 1: Multicollinearity)
14.3.2.3. SPSS Statistics Output (Part 1: Multicollinearity)
14.3.2.4. SPSS Statistics Procedure (Part 2: Logit Linearity)
14.3.2.5. SPSS Statistics Output (Part 2: Logit Linearity)
14.3.2.6. SPSS Statistics Procedure (Part 3: Logistic Regression and Outliers)
14.3.2.7. SPSS Statistics Output (Part 3: Logistic Regression and Outliers)
14.3.3. APA Style Results Write-Up
14.3.4. Summary
14.4. Logistic Regression Checklist
allen_bennett_sb_48973_15
Chapter 15: Factor Analysis
Chapter Overview
15.1. Purpose of a Factor Analysis
15.2. Questions We Could Answer Using a Factor Analysis
15.3. Illustrated Example
15.3.1. Setting Up the SPSS Statistics Data File
15.3.2. Analysing the Data
15.3.2.1. Assumptions
15.3.2.2. SPSS Statistics Procedure (Part 1: Normality)
15.3.2.3. SPSS Statistics Output (Part 1: Normality)
15.3.2.4. SPSS Statistics Procedure (Part 2: Factor Analysis)
15.3.2.5. SPSS Statistics Output (Part 2: Factor Analysis)
15.3.3. APA Style Results Write-Up
15.3.4. Summary
15.4. Factor Analysis Checklist
allen_bennett_sb_48973_16
Chapter 16: Reliability Analysis
Chapter Overview
16.1. Introduction
16.2. Cronbach’s Alpha
16.2.1. Illustrated Example One
16.2.1.1. Setting Up the SPSS Statistics Data File
16.2.1.2. SPSS Statistics Procedure (Reversing Negatively Scaled Items)
16.2.1.3. SPSS Statistics Procedure (Cronbach’s Alpha)
16.2.1.4. SPSS Statistics Output
16.2.1.5. APA Style Results Write-Up
16.3. Cohen’s Kappa
16.3.1. Illustrated Example Two
16.3.1.1. Setting Up the SPSS Statistics Data File
16.3.1.2. SPSS Statistics Procedure
16.3.1.3. SPSS Statistics Output
16.3.1.4. APA Style Results Write-Up
16.4. Reliability Analysis Checklist
allen_bennett_sb_48973_17
Chapter 17: Non-Parametric Procedures
Chapter Overview
17.1. Introduction
17.2. Chi-Square ((2) Test for Goodness of Fit
17.2.1. Questions We Could Answer Using the Chi-Square ((2) Test for Goodness of Fit
17.2.2. Illustrated Example
17.2.2.1. Setting Up the SPSS Statistics Data File
17.2.2.2. Analysing the Data
17.2.2.2.1. Assumptions
17.2.2.2.2. SPSS Statistics Procedure
17.2.2.2.3. SPSS Statistics Output
17.2.2.3. Follow-Up Analyses
17.2.2.3.1. Effect Size
17.2.2.4. APA Style Results Write-Up
17.3. Chi-Square ((2) Test of Contingencies
17.3.1. Questions We Could Answer Using the Chi-Square ((2) Test of Contingencies
17.3.2. Illustrated Example
17.3.2.1. Setting Up the SPSS Statistics Data File
17.3.2.2. Analysing the Data
17.3.2.2.1. Assumptions
17.3.2.2.2. SPSS Statistics Procedure
17.3.2.2.3. SPSS Statistics Output
17.3.2.3. Follow-Up Analyses
17.3.2.3.1. Effect Size
17.3.2.4. APA Style Results Write-Up
17.4. Mann-Whitney U Test
17.4.1. Questions We Could Answer Using the Mann-Whitney U Test
17.4.2. Illustrated Example
17.4.2.1. Setting Up the SPSS Statistics Data File
17.4.2.2. Analysing the Data
17.4.2.2.1. Assumptions
17.4.2.2.2. SPSS Statistics Procedure
17.4.2.2.3. SPSS Statistics Output
17.4.2.3. Follow-Up Analyses
17.4.2.3.1. Effect Size
17.4.2.3.2. Graphing the Effect
17.4.2.4. APA Style Results Write-Up
17.5. McNemar Test of Change
17.5.1. Questions We Could Answer Using The McNemar Test of Change
17.5.2. Illustrated Example
17.5.2.1. Setting Up the SPSS Statistics Data File
17.5.2.2. Analysing the Data
17.5.2.2.1. Assumptions
17.5.2.2.2. SPSS Statistics Procedure
17.5.2.2.3. SPSS Statistics Output
17.5.2.3. Follow-Up Analyses
17.5.2.3.1. Effect Size
17.5.2.4. APA Style Results Write-Up
17.6. Wilcoxon Signed Rank Test
17.6.1. Questions We Could Answer Using the Wilcoxon Signed Rank Test
17.6.2. Illustrated Example
17.6.2.1. Setting Up the SPSS Statistics Data File
17.6.2.2. Analysing the Data
17.6.2.2.1. Assumptions
17.6.2.2.2. SPSS Statistics Procedure
17.6.2.2.3. SPSS Statistics Output
17.6.2.3. Follow-Up Analyses
17.6.2.3.1. Effect Size
17.6.2.4. APA Style Results Write-Up
17.7. Kruskal-Wallis One-Way ANOVA
17.7.1. Questions We Could Answer Using the Kruskal-Wallis One-Way ANOVA
17.7.2. Illustrated Example
17.7.2.1. Setting Up the SPSS Statistics Data File
17.7.2.2. Analysing the Data
17.7.2.2.1. Assumptions
17.7.2.2.2. SPSS Statistics Procedure
17.7.2.2.3. SPSS Statistics Output
17.7.2.3. Follow-Up Analyses
17.7.2.3.1. Effect Size
17.7.2.3.2. Pairwise Comparisons
17.7.2.4. APA Style Results Write-Up
17.8. Cochran’s Q Test
17.8.1. Questions We Could Answer Using Cochran’s Q Test
17.8.2. Illustrated Example
17.8.2.1. Setting Up the SPSS Statistics Data File
17.8.2.2. Analysing the Data
17.8.2.2.1. Assumptions
17.8.2.2.2. SPSS Statistics Procedure
17.8.2.2.3. SPSS Statistics Output
17.8.2.3. Follow-Up Analyses
17.8.2.3.1. Effect Size
17.8.2.3.2. Pairwise Comparisons
17.8.2.4. APA Style Results Write-Up
17.9. Friedman Two-Way ANOVA
17.9.1. Questions We Could Answer Using the Friedman Two-Way ANOVA
17.9.2. Illustrated Example
17.9.2.1. Setting Up the SPSS Statistics Data File
17.9.2.2. Analysing the Data
17.9.2.2.1. Assumptions
17.9.2.2.2. SPSS Statistics Procedure
17.9.2.2.3. SPSS Statistics Output
17.9.2.3. Follow-Up Analyses
17.9.2.3.1. Effect Size
17.9.2.3.2. Pairwise Comparisons
17.9.2.3.3. Effect Sizes for the Pairwise Comparisons
17.9.2.4. APA Style Results Write-Up
17.10. Cramer’s V
17.10.1. Questions We Could Answer Using Cramer’s V
17.10.2. Illustrated Example
17.10.3. Follow-Up Analyses
17.10.3.1. Effect Size
17.10.4. APA Style Results Write-Up
17.11. Spearman’s Rho and Kendall’s Tau-B
17.11.1. Questions We Could Answer Using Either Spearman’s Rho or Kendall’s Tau-B
17.11.2. Illustrated Example
17.11.2.1. Setting Up the SPSS Statistics Data File
17.11.2.2. Analysing the Data
17.11.2.2.1. Assumptions
17.11.2.2.2. SPSS Statistics Procedure
17.11.2.2.3. SPSS Statistics Output
17.11.2.3. APA Style Results Write-Up
17.11.2.3.1. Spearman’s Rho
17.11.2.3.2. Kendall’s Tau-B
17.12. Non-Parametric Checklist
allen_bennett_sb_48973_18
Chapter 18: Working with Syntax
Chapter Overview
18.1. Purpose of Working with Syntax
18.2. Using Syntax to Conduct an Independent Samples t Test
18.2.1. Generating Syntax to Test the Normality Assumption
18.2.2. Command Syntax for Testing the Normality Assumption
18.2.3. Generating Syntax for Assessing Homogeneity of Variance and Running the t Test
18.2.4. Command Syntax for Assessing Homogeneity of Variance and Running the t Test
18.3. Summary
allen_bennett_sb_48973_19_References
References
allen_bennett_sb_48973_20_Index
Index

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Statistical Methods for Practice and Res

📁 Statistical Methods for Practice and Research: A Guide to Data Analysis Using SPSS

✍ Ajai S. Gaur, Sanjaya S. Gaur 📂 Library 📅 2009 🏛 SAGE Publications 🌐 English

This book is designed to help the managers and researchers in solving statistical problems using SPSS and to help them understand how they can use various statistical tools for their own research problems. SPSS is a very powerful and user friendly computer package for data analyses. It can take data