An IBM SPSS companion to political analysis
著者
書誌事項
An IBM SPSS companion to political analysis
Sage/CQ Press, c2016
5th ed
- : pbk
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内容説明・目次
内容説明
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.
目次
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
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