Table Of Content
FiguresPrefaceGetting Started Downloading the Datasets SPSS Full and Grad Pack Versions: What Is the Difference? Watch Screencasts from SAGE EdgeChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 11. Doing Your Own Political Analysis Seven Doable Ideas Importing Data into SPSS Writing It Up Chapter 11 ExercisesAppendix, Table A-1: Variables in the GSS Dataset in Alphabetical OrderAppendix, Table A-2: Variables in the NES Dataset in Alphabetical OrderAppendix, Table A-3: Variables in the States Dataset by TopicAppendix, Table A-4: Variables in the World Dataset by Topic
Synopsis
"[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 Pollocks 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. 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., In Pollocks 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., In Philip H. Pollock III and Barry C. Edwards' trusted IBM SPSS(R) 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(R) Companion to Political Analysis features thoroughly revised and updated datasets and is compatible with all post-12 releases of SPSS.
