The Essentials of Political Analysis / Edition 6

The Essentials of Political Analysis / Edition 6

ISBN-10:
1506379613
ISBN-13:
9781506379616
Pub. Date:
08/20/2019
Publisher:
SAGE Publications
ISBN-10:
1506379613
ISBN-13:
9781506379616
Pub. Date:
08/20/2019
Publisher:
SAGE Publications
The Essentials of Political Analysis / Edition 6

The Essentials of Political Analysis / Edition 6

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Overview

Pollock provides a political science textbook on research methods and data analysis, emphasizing hypothetical and actual examples, and the interpretation of graphic displays of variables and relationships. While still focusing on phenomena from US politics, this second edition adds examples from comparative politics and international relations. For further application, Pollock's SPSS Companion to Political Analysis workbook gets students working with real political science data to apply important concepts in the text and provide an introduction to SPSS, the statistics program most used by today's political scientists. Annotation ©2004 Book News, Inc., Portland, OR

Product Details

ISBN-13: 9781506379616
Publisher: SAGE Publications
Publication date: 08/20/2019
Edition description: Sixth Edition
Pages: 368
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

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 writes textbooks and works for Fair Trial Analysis, LLC, a company that conducts research on juries and jurors for civil and criminal litigation. He received his B.A. from Stanford University, a J.D. from New York University, and a Ph.D. from the University of Georgia. He taught survey design and analysis, research methods, and prelaw courses at the University of Central Florida and continues to teach occasional courses for the University of Georgia. His political science interests include American politics, public law, and research methods. He founded the Political Science Data Group and created the Poli Sci Data.com website. 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, State Politics and Policy Quarterly, and UCLA Criminal Justice Law Review.

Table of Contents

Tables and Figuresxi
Prefacexv
Introduction1
What This Book Is (and Is Not) About2
Facts and Values in Perspective3
The Scientific Approach3
Conclusion5
1.The Measurement of Concepts6
Questions6
Stage 1How to Define a Concept8
Clarifying a Concept8
A Template for Writing a Conceptual Definition10
Stage 2Operational Definitions12
Validity and Reliability13
Approaches to Evaluating Accuracy15
Stage 3Variables18
Levels of Measurement19
Clearing up Confusion over Levels of Measurement22
Summary23
Key Terms23
Exercises23
2.Explanations and Hypotheses26
Questions26
Stage 1From Variable to Explanation28
Stage 2From Explanation to Hypothesis31
Stage 3From Hypothesis to Test35
The True Experiment36
The Natural Experiment39
The Controlled Comparison40
Summary44
Key Terms45
Exercises45
3.Describing Variables and Making Comparisons48
Questions48
Describing Variables49
Summary Guidelines of Description56
Making Comparisons58
Cross-tabulations58
Mean Comparisons62
Graphing Relationships and Describing Patterns63
Summary69
Key Terms70
Exercises71
4.The "How Else?" Question: Making Controlled Comparisons73
Questions73
Three Scenarios: X[right arrow]Y, Controlling for Z75
Spurious Relationships75
Enhancement Relationships77
Specification Relationships78
Making Controlled Comparisons82
Cross-tabulation Analysis82
The Rule of Direction for Nominal Variables85
Mean Comparison Analysis87
Summary92
Key Terms93
Exercises93
5.Sampling and Inference95
Questions95
Random Sampling96
How Sample Size Affects Random Sampling Error100
Variation Revisited: The Standard Deviation101
The Normal Distribution104
How the Standard Deviation Affects Random Sampling Error106
Inference Using the Normal Distribution107
Inference Using the Student's t-Distribution111
What About Sample Proportions?115
Summary117
Key Terms119
Exercises119
6.Tests of Significance and Measures of Association121
Questions121
Statistical Significance122
Comparing Two Sample Means124
Comparing Two Sample Proportions128
The Chi-square Test of Significance130
Measures of Association135
The PRE Approach136
Lambda Revisited: The Problem and a Remedy139
Summary141
Key Terms142
Exercises142
7.Correlation and Regression144
Questions144
Correlation145
Bi-Variate Regression147
R-Square153
Dummy Variable Regression155
Multiple Regression158
Interaction Effects in Multiple Regression160
A Problem to Look Out For: Multicollinearity163
Summary165
Key Terms165
Exercises166
8.Thinking Empirically, Thinking Probabilistically169
Thinking Empirically170
Thinking Probabilistically171
Notes173
Index181
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