Name: An IBM (R) SPSS (R) Companion to Political Analysis By Philip H. Pollock
SKU: 9781506379654
Price: 32.96 USD
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An IBM (R) SPSS (R) Companion to Political Analysis Summary

An IBM (R) SPSS (R) Companion to Political Analysis by Philip H. Pollock

[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 Pollock's 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.

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.

An IBM (R) SPSS (R) Companion to Political Analysis Reviews

[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

With a focus on both the mechanics of SPSS and interpretation of data, An IBM SPSS Companion to Political Analysis provides a very useful and useable addition to a Political Science Methods course. The chapters have engaging exercises that address many areas of the discipline and are organized to build students' understanding of statistical interpretation and skills with SPSS. Students learn to run the statistical procedures, to interpret the results, and to construct arguments with the data.

-- Matthew J. Costello

About Philip H. Pollock

Philip H. Pollock III is a professor of political science at the University of Central Florida. He has taught courses in research methods at the undergraduate and graduate levels for more than thirty 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 the 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. Barry C. Edwards is a lecturer in the Department of Political Science at the University of Central Florida. He received his B.A. from Stanford University, a J.D. from New York University, and a Ph.D. from the University of Georgia. His teaching and research interests include American politics, public law, and research methods. He founded the Political Science Data Group and created the PoliSciData.com web site. His research has been published in American Politics Research, Congress & the Presidency, Election Law Journal, Emory Law Journal, Georgia Bar Journal, Harvard Negotiation Law Review, Journal of Politics, NYU Journal of Legislation and Public Policy, Political Research Quarterly, Presidential Studies Quarterly, Public Management Review, and State Politics and Policy Quarterly.

Figures Preface Getting Started Downloading the Datasets SPSS Full and Grad Pack Versions: What Is the Difference? Watch Screencasts from SAGE Edge Chapter 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 Exercises Chapter 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 Exercises Chapter 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 Exercises Chapter 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 Exercises Chapter 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 Exercises Chapter 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 Exercises 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 Analyzing a Nominal-level Relationship with a Control Variable Chapter 7 Exercises Chapter 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 Exercises Chapter 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 Exercises Chapter 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 Exercises Chapter 11. Doing Your Own Political Analysis Seven Doable Ideas Importing Data into SPSS Writing It Up Chapter 11 Exercises Appendix, Table A-1: Variables in the GSS Dataset in Alphabetical Order Appendix, Table A-2: Variables in the NES 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

Additional information

Sku

CIN1506379656VG

ISBN 13

9781506379654

ISBN 10

1506379656

Title

An IBM (R) SPSS (R) Companion to Political Analysis by Philip H. Pollock

Author

Philip H. Pollock

Condition

Used - Very Good

Binding type

Paperback

Publisher

SAGE Publications Inc

Year published

20191015

Number of pages

304

Prizes

N/A

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Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

Note

This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

An IBM (R) SPSS (R) Companion to Political Analysis Philip H. Pollock

An IBM (R) SPSS (R) Companion to Political Analysis by Philip H. Pollock

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An IBM (R) SPSS (R) Companion to Political Analysis Summary

An IBM (R) SPSS (R) Companion to Political Analysis by Philip H. Pollock

An IBM (R) SPSS (R) Companion to Political Analysis Reviews

About Philip H. Pollock

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