IBM SPSS by Example: A Practical Guide to Statistical Data Analysis
by Alan C. Elliott
- Second Edition
- New Delhi SAGE 2016
- xxiii, 342 pages; Illustrations: 22 cm.
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
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.