IBM SPSS by Example
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The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s “cut to the chase” IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.
Contents
Chapter 1: Introduction
- Getting the Most Out of IBM SPSS by Example
- A Brief Overview of the Statistical Process
- Understanding Hypothesis Testing, Power, and Sample Size
- Understanding the p-Value
- Planning a Successful Analysis
- Guidelines for Creating Data Sets
- Preparing Excel Data for Import
- Guidelines for Reporting Results
- Opening Data Files for Examples
Chapter 2: Describing and Examining Data
- Example Data Files
- Describing Quantitative Data
- Describing Categorical Data
Chapter 3: Creating and Using Graphs
- Introduction to SPSS Graphs
- Chart Builder
- Graphboard Template Chooser
- Legacy Plots
- Scatterplots
- Histograms
- Bar Charts
- Pie Charts
- Box Plots
Chapter 4: Comparing One or Two Means Using the t-Test
- One-Sample t-Test
- Two-Sample t-Test
- Paired t-Test
Chapter 5: Correlation and Regression
- Correlation Analysis
- Simple Linear Regression
- Multiple Linear Regression
Chapter 6: Analysis of Categorical Data
- Contingency Table Analysis
- McNemar’s Test
- Mantel-Haenszel Comparison
- Tests of Interrater Reliability
- Goodness-of-Fit Test
- Other Measures of Association for Categorical Data
Chapter 7: Analysis of Variance and Covariance
- One-Way ANOVA
- Two-Way Analysis of Variance
- Repeated-Measures Analysis of Variance
- Analysis of Covariance
Chapter 8: Non-parametric Analysis Procedures
- Spearman’s Rho
- Mann-Whitney-Wilcoxon (Two Independent Groups Test)
- Kruskal-Wallis Test
- Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs
- Friedman’s Test
Chapter 9: Logistic Regression
- Simple Logistic Regression
- Multiple Logistic Regression
Chapter 10: Factor Analysis
- Factor Analysis Examples
Description
The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s “cut to the chase” IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.
Contents
Chapter 1: Introduction
- Getting the Most Out of IBM SPSS by Example
- A Brief Overview of the Statistical Process
- Understanding Hypothesis Testing, Power, and Sample Size
- Understanding the p-Value
- Planning a Successful Analysis
- Guidelines for Creating Data Sets
- Preparing Excel Data for Import
- Guidelines for Reporting Results
- Opening Data Files for Examples
Chapter 2: Describing and Examining Data
- Example Data Files
- Describing Quantitative Data
- Describing Categorical Data
Chapter 3: Creating and Using Graphs
- Introduction to SPSS Graphs
- Chart Builder
- Graphboard Template Chooser
- Legacy Plots
- Scatterplots
- Histograms
- Bar Charts
- Pie Charts
- Box Plots
Chapter 4: Comparing One or Two Means Using the t-Test
- One-Sample t-Test
- Two-Sample t-Test
- Paired t-Test
Chapter 5: Correlation and Regression
- Correlation Analysis
- Simple Linear Regression
- Multiple Linear Regression
Chapter 6: Analysis of Categorical Data
- Contingency Table Analysis
- McNemar’s Test
- Mantel-Haenszel Comparison
- Tests of Interrater Reliability
- Goodness-of-Fit Test
- Other Measures of Association for Categorical Data
Chapter 7: Analysis of Variance and Covariance
- One-Way ANOVA
- Two-Way Analysis of Variance
- Repeated-Measures Analysis of Variance
- Analysis of Covariance
Chapter 8: Non-parametric Analysis Procedures
- Spearman’s Rho
- Mann-Whitney-Wilcoxon (Two Independent Groups Test)
- Kruskal-Wallis Test
- Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs
- Friedman’s Test
Chapter 9: Logistic Regression
- Simple Logistic Regression
- Multiple Logistic Regression
Chapter 10: Factor Analysis
- Factor Analysis Examples
Reviews
IBM SPSS by Example
A Practical Guide to Statistical Data Analysis
January 2015 | 368 pages | Sage US
| Format | Published Date | ISBN | Price |
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The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s “cut to the chase” IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.
Table Of Contents:
- Chapter 1: Introduction
- Getting the Most Out of IBM SPSS by Example
- A Brief Overview of the Statistical Process
- Understanding Hypothesis Testing, Power, and Sample Size
- Understanding the p-Value
- Planning a Successful Analysis
- Guidelines for Creating Data Sets
- Preparing Excel Data for Import
- Guidelines for Reporting Results
- Opening Data Files for Examples
- Chapter 2: Describing and Examining Data
- Example Data Files
- Describing Quantitative Data
- Describing Categorical Data
- Chapter 3: Creating and Using Graphs
- Introduction to SPSS Graphs
- Chart Builder
- Graphboard Template Chooser
- Legacy Plots
- Scatterplots
- Histograms
- Bar Charts
- Pie Charts
- Box Plots
- Chapter 4: Comparing One or Two Means Using the t-Test
- One-Sample t-Test
- Two-Sample t-Test
- Paired t-Test
- Chapter 5: Correlation and Regression
- Correlation Analysis
- Simple Linear Regression
- Multiple Linear Regression
- Chapter 6: Analysis of Categorical Data
- Contingency Table Analysis
- McNemar’s Test
- Mantel-Haenszel Comparison
- Tests of Interrater Reliability
- Goodness-of-Fit Test
- Other Measures of Association for Categorical Data
- Chapter 7: Analysis of Variance and Covariance
- One-Way ANOVA
- Two-Way Analysis of Variance
- Repeated-Measures Analysis of Variance
- Analysis of Covariance
- Chapter 8: Non-parametric Analysis Procedures
- Spearman’s Rho
- Mann-Whitney-Wilcoxon (Two Independent Groups Test)
- Kruskal-Wallis Test
- Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs
- Friedman’s Test
- Chapter 9: Logistic Regression
- Simple Logistic Regression
- Multiple Logistic Regression
- Chapter 10: Factor Analysis
- Factor Analysis Examples