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An IBM SPSS® Companion to Political Analysis

An IBM SPSS® Companion to Political Analysis

Sixth Edition
Experience with SAGE edge

August 2019 | 347 pages | CQ Press
In Pollock's trusted IBM SPSS® workbook, students dive headfirst into actual political data and work with a software tool that prepares them not only for future political science research but the job world as well. Students learn by doing with new guided examples, annotated screenshots, step-by-step instructions, and exercises that reflect current scholarly debates in American political behavior and comparative politics. This Sixth Edition features thoroughly revised and updated datasets and is compatible with all post-12 releases of SPSS.
Datasets and Chapter Exercises  
Chapter Organization  
Learning to Analyze Politics with SPSS  
Accompanying Core Text  
Getting Started
Downloading the Datasets  
SPSS Full and Grad Pack Versions: What Is the Difference?  
Watch Screencasts from SAGE Edge  
1. Introduction to SPSS
The Data Editor  
Setting Options for Variable Lists  
The Viewer  
How to Format an SPSS Table  
Getting Help  
Chapter 1 Exercises  
2. Descriptive Statistics
How SPSS Stores Information about Variables  
Interpreting Measures of Central Tendency and Variation  
Describing Nominal Variables  
Describing Ordinal Variables  
Describing Interval Variables  
Obtaining Case-Level Information with Case Summaries  
Chapter 2 Exercises  
3. Transforming Variables
Creating Indicator Variables  
Working with Variable Labels  
Centering or Standardizing a Numeric Variable  
Using Compute to Create an Additive Index  
4. Making Comparisons
Cross-tabulation Analysis  
Mean Comparison Analysis  
Visualizing Mean Comparison Analysis with a Line Chart  
Chapter 4 Exercises  
5. Making Controlled Comparisons
Cross-tabulation Analysis with a Control Variable  
Graphing Controlled Comparisons with Categorical Dependent Variables  
Mean Comparison Analysis with a Control Variable  
Visualizing Controlled Mean Comparisons  
Chapter 5 Exercises  
6. Making Inferences about Sample Means
Finding the 95% Confidence Interval of a Sample Mean  
Testing a Hypothetical Claim about the Population Mean  
Inference about the Difference between Two Sample Means  
Visualizing Mean Comparisons with Error Bars  
Making Inferences about Sample Proportions  
Chapter 6 Exercises  
7. Chi-Square and Measures of Association
Analyzing an Ordinal-level Relationship  
Analyzing an Ordinal-level Relationship with a Control Variable  
Analyzing a Nominal-level Relationship  
Analyzing a Nominal-level Relationship with a Control Variable  
Chapter 7 Exercises  
8. Correlation and Linear Regression
Correlation Analysis  
Bivariate Regression  
Multiple Regression  
Visualizing Multiple Regression Analysis with Bubble Plots  
Chapter 8 Exercises  
9. Dummy Variables and Interaction Effects
Regression with Multiple Dummy Variables  
Interaction Effects in Multiple Regression  
Graphing Linear Prediction Lines for Interaction Relationships  
Chapter 9 Exercises  
10. Logistic Regression
Thinking About Odds, Logged Odds, and Probabilities  
Estimating Logistic Regression Models  
Logistic Regression with Multiple Independent Variables  
Graphing Predicted Probabilities with One Independent Variable  
Graphing Predicted Probabilities with Multiple Variables  
Chapter 10 Exercises  
11. Doing Your Own Political Analysis
Seven Doable Ideas  
Importing Data into SPSS  
Writing It Up  

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ISBN: 9781506379654