Essentials of Political Analysis

ISBN-10: 1608716864
ISBN-13: 9781608716869
Edition: 4th 2012 (Revised)
List price: $81.00 Buy it from $1.63
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Description: Political science students need to get comfortable using the tools of political analysis. For stats-phobic undergrads, the research methods course need not need be nerve wracking, especially with Pollock#x19;s bestselling text to help them along the  More...

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Book details

List price: $81.00
Edition: 4th
Copyright year: 2012
Publisher: CQ Press
Publication date: 7/21/2011
Binding: Paperback
Pages: 280
Size: 7.00" wide x 9.50" long x 0.25" tall
Weight: 1.298
Language: English

Political science students need to get comfortable using the tools of political analysis. For stats-phobic undergrads, the research methods course need not need be nerve wracking, especially with Pollock#x19;s bestselling text to help them along the way. His brief, accessible guide walks students through the basics-measuring concepts, formulating and testing hypotheses, describing variables-while using key terms, chapter-opening objectives, 80 tables and figures, and class-tested exercises to get them using and applying their new skills. The new fourth edition features enhanced treatment of research design and logic controlled comparison and illustrates complex relationships with more accessible examples. A completely revised rubric further helps students identify these complex relationships in their own research.

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.

Tables, Figures, and Boxes
Preface
Introduction
What This Book Is About
Facts and Values in Perspective
The Scientific Approach
Conclusion
Notes
The Definition and Measurement of Concepts
Conceptual Definitions
Clarifying a Concept
A Template for Writing a Conceptual Definition
Operational Definitions
Measurement Error
Reliability and Validity
Evaluating Reliability
Evaluating Validity
Summary
Key Terms
Exercises
Notes
Measuring and Describing Variables
Measuring Variables
Levels of Measurement
Additive Indexes
Describing Variables
Central Tendency and Dispersion
Summary
Key Terms
Exercises
Notes
Proposing Explanations, Framing Hypotheses, and Making Comparisons
Proposing Explanations
Framing Hypotheses
Common Mistakes in Hypothesis Writing
Intervening Variables
Making Comparisons
Cross-tabulations
Mean Comparisons
Graphing Relationships and Describing Patterns
Summary
Key Terms
Exercises
Notes
Research Design and the Logic of Control
Experimental Designs
Random Assignment
A Laboratory Experiment
A Field Experiment
Controlled Comparisons
Three Scenarios
Spurious Relationships
Additive Relationships
Interaction Relationships
The Many Faces of Interaction
Summary
Key Terms
Exercises
Notes
Making Controlled Comparisons
Cross-tabulation Analysis Control Tables
Partial Effect
Identifying the Pattern
Graphing Controlled Comparisons
An Example of Interaction
Mean Comparison Analysis
An Example of Additive Relationships
Another Example of Interaction
Summary
Key Terms
Exercises
Notes
Foundations of Statistical Inference
Population Parameters and Sample Statistics
Random Sampling
Sample Size and Random Sampling Error
Variation Revisited: The Standard Deviation
n and �
The Standard Error of a Sample Mean
The Central Limit Theorem and the Normal Distribution
Inference Using the Normal Distribution
Inference Using the Student's f-Distribution
What About Sample Proportions?
Summary
Key Terms
Exercises
Notes
Tests of Significance and Measures of Association
Statistical Significance
Comparing Two Sample Means
Comparing Two Sample Proportions
The Chi-square Test of Significance
Measures of Association
Lambda
A Problem with Lambda
Somers'd<sub>yx</sub>
Summary
Key Terms
Exercises
Notes
Correlation and Linear Regression
Correlation
Bivariate Regression
R-square
Adjusted R-square
Dummy Variable Regression
Multiple Regression
Interaction Effects in Multiple Regression
Multicollinearity
Summary
Key Terms
Exercises
Notes
Logistic Regression
The Logistic Regression Approach
Finding the Best Fit: Maximum Likelihood Estimation
Logistic Regression with Multiple Independent Variables
Working with Probabilities
The Probability Profile Method
The Sample Averages Method
Summary
Key Terms
Exercises
Notes
Thinking Empirically, Thinking Probabilistically
Thinking Empirically
Thinking Probabilistically
Notes
Index

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