An IBM? SPSS? Companion to Political Analysis
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Product details:
- Edition number Seventh Edition
- Publisher CQ Press
- Date of Publication 18 August 2025
- ISBN 9781071861479
- Binding Paperback
- No. of pages424 pages
- Size 279x215 mm
- Language English 1009
Categories
Short description:
In Phillip H. Pollock III and Barry C. Edwards' trusted An IBM® SPSS® Companion to Political Analysis 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. The Seventh Edition has been thoroughly revised to break up larger chapters for a more detailed and focused exploration of key topics. This edition has also been updated to reflect current datasets from the General Social Survey (GSS) and American National Election Studies (ANES), including new variables related to the 2020 presidential election, ensuring students are working with relevant and up-to-date political science data. Datasets are all compatible with all post-12 releases of SPSS.
MoreLong description:
An IBM® SPSS® Companion to Political Analysis equips students with practical political data skills using updated datasets from GSS and ANES, including 2020 election variables. The Seventh Edition enhances learning with new data and examples, newly-divided chapters, and hands-on exercises, preparing students for research and careers in political science.
MoreTable of Contents:
Figures
Preface
Acknowledgements
About the Authors
Introduction: Getting Started with SPSS
I.1Downloading the Datasets
I.2SPSS Full and Student Versions: What?s the Difference?
I.3Watch Screencasts from SAGE Edge
Chapter 1: Using SPSS for Data Analysis
1.1The Data Editor
1.2Setting Options for Variable Lists
1.3The Viewer
1.4Selecting, Printing, and Saving Output
1.5How to Format an SPSS Table
1.6Saving Commands in Syntax Files
1.7Getting Help
1.8Chapter Review
Chapter 1 Exercises
Chapter 2: Descriptive Statistics
2.1How SPSS Stores Information about Variables
2.2Identifying Levels of Measurement
2.3Describing Nominal Variables
2.4Describing Ordinal Variables
2.5Describing Interval Variables
2.6Using the Chart Editor to Modify Graphics
2.7Obtaining Case-level Information with Case Summaries
2.8Chapter Review
Chapter 2 Exercises
Chapter 3: Creating and Transforming Variables
3.1Creating Indicator Variables
3.2Working with Variable Labels
3.3Recoding Interval-level Variables into Simplified Categories
3.4Simplifying an Internal-level Variable with Visual Binning
3.5Centering or Standardizing a Numeric Variable
3.6Using Compute to Create an Additive Index
3.7Chapter Review
Chapter 3 Exercises
Chapter 4: Making Comparisons
4.1Cross-Tabulation Analysis
4.2Visualizing Cross-Tabulation Analysis with a Bar Chart
4.3Mean Comparison Analysis
4.4Visualizing Mean Comparison Analysis with a Line Chart
4.5Making Comparisons with Interval-Level Independent Variables
4.6Chapter Review
Chapter 4 Exercises
Chapter 5: Graphing Relationships and Describing Patterns
5.1Graphs for Binary Dependent Variables
5.2Graphs for Nominal Dependent Variables
5.3Graphs for Ordinal-Level Dependent Variables
5.4Graphs for Interval-Level Dependent Variables
5.5Chapter Review
Chapter 5 Exercises
Chapter 6: Random Assignment and Sampling
6.1Random Assignment
6.2Analyzing the Results of an Experiment
6.3Random Sampling
6.4Selecting Cases for Qualitative Analysis
6.5Analyzing Data Ethically
6.6Chapter Review
Chapter 6 Exercises
Chapter 7: Making Controlled Comparisons
7.1Cross-Tabulation Analysis with a Control Variable
7.2Graphs for Controlled Cross-Tabulations
7.3Mean Comparison Analysis with a Control Variable
7.4Visualizing Controlled Mean Comparisons
7.5Controlled Comparisons with Interval-Level Control Variables
7.6Chapter Review
Chapter 7 Exercises
Chapter 8: Foundations of Statistical Inference
8.1Estimating a Population Proportion with Computer Simulation
8.2Expected Shape of Sampling Distributions
8.3Confidence Intervals and Margins of Error
8.4Student?s t-Distribution: When You?re Not Completely Normal
8.5Chapter Review
Chapter 8 Exercises
Chapter 9: Hypothesis Tests with One or Two Samples
9.1Role of the Null Hypothesis
9.2Testing Hypothesis about a Population Proportion
9.3Testing Hypothesis about Difference between Two Population Proportions
9.4Testing Hypothesis about Population Mean
9.5Testing Hypothesis about Difference between Two Population Means
9.6Chapter Review
Chapter 9 Exercises
Chapter 10: Chi-Square Test and Analysis of Variance
10.1The Chi-Square Test of Independence
10.2Measuring the Strength of Association between Categorical Variables
10.3Chi-Square Test and Measures of Association in Controlled Comparisons
10.4Analysis of Variance
10.5Chapter Review
Chapter 10 Exercises
Chapter 11: Correlation and Bivariate Regression
11.1Correlation Analysis
11.2Bivariate Regression
11.3Creating Scatterplots for Bivariate Regression Analysis
11.4Chapter Review
Chapter 11 Exercises
Chapter 12: Multiple Regression
12.1Estimating and Interpreting Multiple Regression
12.2Regression with Multiple Dummy Variables
12.3Interaction Effects in Multiple Regression
12.4Visualizing Multiple Regression Analysis with Bubble Plots
12.5Graphing Interaction Relationships
12.6Chapter Review
Chapter 12 Exercises
Chapter 13: Analyzing Regression Residuals
13.1Expected Values, Observed Values, and Regression Residuals
13.2Squared and Standardized Residuals
13.3Assumptions about Regression Residuals
13.4Analyzing Graphs of Regression Residuals
13.5Testing Regression Assumptions with Residual Values
13.6Identifying Outliers and Influential Observations
13.7What If You Diagnose Problems with Residuals?
13.8Chapter Review
Chapter 13 Exercises
Chapter 14: Logistic Regression
14.1Odds, Logged Odds, and Probabilities
14.2Estimating Logistic Regression Models
14.3Graphing Predicted Probabilities with One Independent Variable
14.4Logistic Regression with Multiple Independent Variables
14.5Graphing Predicted Probabilities with Multiple Independent Variables
14.6Chapter Review
Chapter 14 Exercises
Chapter 15 Doing Your Own Political Analysis
15.1Doable Research Ideas
15.2Importing Data into SPSS
15.3Writing It Up
15.4Chapter Review
Chapter 15 Exercises
Appendix, Table A-1: Variables in the GSS Dataset in Alphabetical Order
Appendix, Table A-2: Variables in the ANES 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
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