SPSS Companion to Political Analysis

ISBN-10: 1608716872

ISBN-13: 9781608716876

Edition: 4th 2012 (Revised)

Authors: Philip H. Pollock

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In this much-anticipated revision of Pollock#x19;s popular SPSS workbook, 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 guided examples, more than 120 screenshots, and step-bystep instructions. Compatible with all releases of SPSS (12.0 through 19.0, as well as the student version), the new fourth edition includes brand-new or completely revised exercises. Two new datasets (2008 NES and 2008 GSS) and two revised datasets (on the 50 states and on 191 countries of the world) feature an expanded number of variables to provide greater latitude for performing original analysis.
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Book details

List price: $65.00
Edition: 4th
Copyright year: 2012
Publisher: CQ Press
Publication date: 7/22/2011
Binding: Paperback
Pages: 288
Size: 8.25" wide x 10.70" long x 0.50" tall
Weight: 1.672
Language: English

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
Dataset CD
Full Version SPSS and Student Version SPSS: What Is the Difference?
Installing Student Version
Introduction to SPSS
The Data Editor
a Must-Do: Setting Options for Variable Lists
The Viewer
Selecting, Printing, and Saving Output Exercises
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
Transforming Variables
Using Recode
Recoding a Nominal-level Variable
Recoding an Interval-level Variable
Using Visual Binning
Collapsing an Interval-level Variable with Visual Binning
Using Compute
Making Comparisons
Using Crosstabs
Using Compare Means
Graphing Relationships
Using Line Chart
Using Bar Chart
Using the Chart Editor
Making Controlled Comparisons
Using Crosstabs with Layers
Obtaining and Editing Clustered Bar Charts
Using Compare Means with Layers and Obtaining Multiple Line Charts
Example of an Interaction Relationship
Example of an Additive Relationship
Making Inferences about Sample Means
Using Descriptives and One-Sample T Test
Using Independent-Samples T Test
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
a Problem with Lambda
Correlation and Linear Regression
Using Correlate and Regression --> Linear
Producing and Editing a Scatterplot
Exploring Multivariate Relationships with Regression --> Linear
Dummy Variables and Interaction Effects
Regression with Dummy Variables
Interaction Effects in Multiple Regression
Using Compute for Interaction Variables
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
The Sample Averages Method
The Probability Profile Method
Doing Your Own Political Analysis
Five Doable Ideas
Political Knowledge
Economic Performance and Election Outcomes
Judicial Selection and Public Opinion
Electoral Turnout in Comparative Perspective
Doing Research on the U.S. Senate
Finding Raw Data
How to Code Raw Data
Two Possible Coding Shortcuts
Using the SPSS Text Import Wizard
Writing It Up
The Research Question
Previous Research
Data, Hypotheses, and Analysis
Conclusions and Implications
Descriptions of Constructed Variables in GSS2008
Descriptions of Variables in States
Description of Variables in World
Description of Variables and Constructed Scales in NES2008
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