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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 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.
Table of Contents
|The Definition and Measurement of Concepts|
|Measuring and Describing Variables|
|Proposing Explanations, Framing Hypotheses, and Making Comparisons|
|Graphing Relationships and Describing Patterns|
|The ‚«£How Else?‚«† Question: Making Controlled Comparisons|
|Three Scenarios: X Y, Controlling for Z|
|Sampling and Inference|
|Graphing Controlled Comparisons|
|Foundations of Statistical Inference|
|Population Parameters and Sample Statistics|
|The Standard Error of a Sample Mean|
|Inference Using the Normal Distribution|
|Inference Using the Students' T-Distribution|
|What About Sample Proportions?|
|Tests of Significance and Measures of Association|
|Measures of Association|
|Correlation and Linear Regression|
|Dummy Variable Regression|
|The Logistic Regression Approach|
|Finding the Best Fit: Maximum Likelihood Estimation|
|Logistic Regression with Multiple Independent Variables|
|Working with Probabilities|
|Table of Contents provided by Publisher. All Rights Reserved.|