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An IBM® SPSS® Companion to Political Analysis
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An IBM® SPSS® Companion to Political Analysis

Sixth Edition
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October 2019 | 304 pages | CQ Press
“[The text] provides by far the best introduction for students wanting to learn how to use SPSS in conducting statistical analysis. Its clear in-depth examples makes data analysis accessible to even the most numbers-phobic student.” 
—Michael Burch, Eckerd College

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 of An IBM SPSS® Companion to Political Analysis features thoroughly revised and updated datasets and is compatible with all post-12 releases of SPSS.

Discounted package deals available with the IBM® SPSS® Statistics Base Integrated Student Edition and Philip H. Pollock’s Essentials of Political Analysis. See more information on the “Packages” tab or contact your CQ Press | SAGE sales rep.

Give your students the SAGE edge!

SAGE edge offers a robust online environment featuring an impressive array of free tools and resources for review, study, and further exploration, keeping both instructors and students on the cutting edge of teaching and learning. Learn more at edge.sagepub.com/pollock.
 
 
Figures
 
Preface
 
Getting Started
Downloading the Datasets  
SPSS Full and Grad Pack Versions: What Is the Difference?  
Watch Screencasts from SAGE Edge  
 
Chapter 1. Introduction to SPSS
The Data Editor  
Setting Options for Variable Lists  
The Viewer  
Selecting, Printing, and Saving Output  
How to Format an SPSS Table  
Saving Commands in Syntax Files  
Getting Help  
Chapter 1 Exercises  
 
Chapter 2. Descriptive Statistics
How SPSS Stores Information about Variables  
Interpreting Measures of Central Tendency and Variation  
Describing Nominal Variables  
Describing Ordinal Variables  
Using the Chart Editor to Modify Graphics  
Describing Interval Variables  
Obtaining Case-level Information with Case Summaries  
Chapter 2 Exercises  
 
Chapter 3: Transforming Variables
Creating Indicator Variables  
Working with Variable Labels  
Recoding Interval-level Variables into Simplified Categories  
Simplifying an Internal-level Variable with Visual Binning  
Centering or Standardizing a Numeric Variable  
Using Compute to Create an Additive Index  
Chapter 3 Exercises  
 
Chapter 4. Making Comparisons
Cross-tabulation Analysis  
Visualizing Cross-tabulation Analysis with a Bar Chart  
Mean Comparison Analysis  
Visualizing Mean Comparison Analysis with a Line Chart  
Creating a Box Plot to Make Comparisons  
Chapter 4 Exercises  
 
Chapter 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  
 
Chapter 6. Making Inferences about Sample Means
Finding the 95% Confidence Interval of a Sample Mean  
Testing a Hypothetical Claim about the Population Mean  
Inferences about the Difference between Two Sample Means  
Visualizing Mean Comparisons with Error Bars  
Making Inferences about Sample Proportions  
Chapter 6 Exercises  
 
Chapter 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  
 
Chapter 8. Correlation and Linear Regression
Correlation Analysis  
Bivariate Regression  
Creating Scatterplots for Bivariate Regression Analysis  
Multiple Regression  
Visualizing Multiple Regression Analysis with Bubble Plots  
Chapter 8 Exercises  
 
Chapter 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  
 
Chapter 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 Independent Variables  
Chapter 10 Exercises  
 
Chapter 11. Doing Your Own Political Analysis
Seven Doable Ideas  
Importing Data into SPSS  
Writing It Up  
Chapter 11 Exercises  
 
Appendix, Table A-1: Variables in the GSS Dataset in Alphabetical Order
 
Appendix, Table A-2: Variables in the NES Dataset in Alphabetical Order
 
Appendix, Table A-3: Variables in the States Dataset by Topic
 
Appendix, Table A-4: Variables in the World Dataset by Topic

Supplements

Instructor Resources Site
edge.sagepub.com/pollock

Instructor Teaching Site (Password Protected)

SAGE edge for Instructors supports your teaching by making it easy to integrate quality content and create a rich learning environment for students. This site includes:
  • Datasets that accompany the workbook
  • Syntax files for each chapter of the workbook
  • Solutions Manual that accompanies exercises in the workbook, along with an associated syntax file
  • All tables and figures from the workbook
  • Screencast videos, created by author Philip Pollock, of the guided examples from each chapter
 
Student Study Site
Student Study Site (Open Access)

SAGE edge for Students provides a personalized approach to help students accomplish their coursework goals in an easy-to-use learning environment. This site includes:
  • Datasets that accompany the workbook
  • Screencast videos, created by author Philip Pollock, of the guided examples from each chapter, intended to enhance understanding of key topics

“[The text] provides by far the best introduction for students wanting to learn how to use SPSS in conducting statistical analysis. Its clear in-depth examples makes data analysis accessible to even the most numbers-phobic student.”

Michael Burch
Eckerd College

“With a focus on both the mechanics of SPSS and interpretation of data, An IBM SPSS Companion to Political Analysis provides a very useful and useable addition to a Political Science Methods course. The chapters have engaging exercises that address many areas of the discipline and are organized to build students’ understanding of statistical interpretation and skills with SPSS. Students learn to run the statistical procedures, to interpret the results, and to construct arguments with the data.”

Matthew J. Costello
Saint Xavier University

Sample Materials & Chapters

Chapter 1. Introduction to SPSS

Chapter 2. Descriptive Statistics


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ISBN: 9781506379654
£45.99