In Philip H. Pollock's An IBM SPSS (R) Companion to Political Analysis, students dive headfirst into actual political data and work with a software tool that prepares them for future political science research. Students learn by doing with fresh guided examples, new annotated screenshots, step-by-step instructions, and exercises that reflect current scholarly debates in American political behavior and comparative politics.
Compatible with all releases of SPSS (12.0 and later), the all-new Fifth Edition includes 53 new or revised exercises. Two new datasets (NES 2012 and GSS 2012) and two revised datasets (on the 50 states and on 167 countries of the world) feature an expanded number of variables to provide greater latitude for performing original analysis.
Philip H. Pollock III is professor of political science at the University of Central Florida. He has taught courses in research methods at the undergraduate and graduate levels for nearly 30 years. His main research interests are American public opinion, voting behavior, techniques of quantitative analysis, and the scholarship of teaching and learning. His recent research has been on the effectiveness of Internet-based instruction. Pollock's research has appeared in the American Journal of Political Science, Social Science Quarterly, and British Journal of Political Science. Recent scholarly publications include articles in Political Research Quarterly, the Journal of Political Science Education, and PS: Political Science and Politics.
Getting Started Downloading the Datasets SPSS Full Version and SPSS Student Version: What Is the Difference? Notes Chapter 1 Introduction to SPSS The Data Editor A Must-Do: Setting Options for Variable Lists The Viewer Exercises Chapter 2 Descriptive Statistics Interpreting Measures of Central Tendency and Variation Describing Nominal Variables Describing Ordinal Variables Describing Interval Variables Obtaining Case-level Information with Case Summaries Exercises Notes Chapter 3 Transforming Variables Using Recode Using Visual Binning Using Compute Exercises Notes Chapter 4 Making Comparisons Cross-tabulation Analysis Mean Comparison Analysis Graphing Relationships Exercises Notes Chapter 5 Making Controlled Comparisons Cross-tabulation Analysis with a Control Variable Graphing Relationships with a Control Variable Mean Comparison Analysis with a Control Variable Exercises Notes Chapter 6 Making Inferences about Sample Means Descriptives and One-Sample T Test Independent-Samples T Test Exercises Notes 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 with a Control Variable Exercises Notes Chapter 8 Correlation and Linear Regression Correlation and Bivariate Regression Scatterplots Multiple Regression Exercises Notes Chapter 9 Dummy Variables and Interaction Effects Regression with Dummy Variables Interaction Effects in Multiple Regression Using Compute for Interaction Variables Exercises Notes Chapter 10 Logistic Regression Using Regression -> Binary Logistic Logistic Regression with Multiple Independent Variables Working with Predicted Probabilities: Models with One Independent Variable Working with Predicted Probabilities: Models with Multiple Independent Variables Exercises Notes Chapter 11 Doing Your Own Political Analysis Five Doable Ideas Inputting Data Writing It Up Notes