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The essentials of political analysis / Philip H. Pollock III.

By: Material type: TextTextPublisher: Washington, DC : CQ Press, [2009]Copyright date: ©2009Edition: Third editionDescription: xviii, 256 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0872896064
  • 9780872896062
Subject(s): DDC classification:
  • 320.072 22
LOC classification:
  • JA86 .P65 2009
Contents:
Introduction -- 1. The Definition and Measurement of Concepts -- Conceptual Definitions -- Operational Definitions -- 2. Measuring and Describing Variables -- Measuring Variables -- Describing Variables -- 3. Proposing Explanations, Framing Hypotheses, and Making Comparisons -- Proposing Explanations -- Framing Hypotheses -- Making Comparisons -- Graphing Relationships and Describing Patterns -- 4. The “How Else?” Question: Making Controlled Comparisons -- Experimental Studies -- Observational Studies -- Three Scenarios: X Y, Controlling for Z -- 5. Sampling and Inference -- Cross-Tabulation Analysis -- Graphing Controlled Comparisons -- 6. Foundations of Statistical Inference -- Population Parameters and Sample Statistics -- Random Sampling -- The Standard Error of a Sample Mean -- Inference Using the Normal Distribution -- Inference Using the Students' T-Distribution -- What About Sample Proportions? -- 7. Tests of Significance and Measures of Association -- Statistical Significance -- Measures of Association -- 8. Correlation and Linear Regression -- Correlation -- Bivariate Regression -- R-Square -- Dummy Variable Regression -- 9. Logistic Regression -- The Logistic Regression Approach -- Finding the Best Fit: Maximum Likelihood Estimation -- Logistic Regression with Multiple Independent Variables -- Working with Probabilities.
Summary: "Student anxiety runs high given the seemingly intimidating nature of the methods course. Philip Pollock's first order of business is to get math-phobic students comfortable learning and using the tools of political analysis. Brief and accessible, his text walks students through the basics - measuring concepts, formulating and testing hypotheses, describing variables - and uses key terms, chapter-opening objectives, more than eighty tables and figures, and class-tested chapter exercises to promote skill application and aid student review. Fully up-to-date with new exercises and data, this third edition includes a new chapter devoted to measuring and describing variables, as well as fresh coverage of multiple regression and research design."--Publisher's website.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 320.072 POL (Browse shelf(Opens below)) 1 Available A468580B

Includes bibliographical references and index.

Introduction -- 1. The Definition and Measurement of Concepts -- Conceptual Definitions -- Operational Definitions -- 2. Measuring and Describing Variables -- Measuring Variables -- Describing Variables -- 3. Proposing Explanations, Framing Hypotheses, and Making Comparisons -- Proposing Explanations -- Framing Hypotheses -- Making Comparisons -- Graphing Relationships and Describing Patterns -- 4. The “How Else?” Question: Making Controlled Comparisons -- Experimental Studies -- Observational Studies -- Three Scenarios: X Y, Controlling for Z -- 5. Sampling and Inference -- Cross-Tabulation Analysis -- Graphing Controlled Comparisons -- 6. Foundations of Statistical Inference -- Population Parameters and Sample Statistics -- Random Sampling -- The Standard Error of a Sample Mean -- Inference Using the Normal Distribution -- Inference Using the Students' T-Distribution -- What About Sample Proportions? -- 7. Tests of Significance and Measures of Association -- Statistical Significance -- Measures of Association -- 8. Correlation and Linear Regression -- Correlation -- Bivariate Regression -- R-Square -- Dummy Variable Regression -- 9. Logistic Regression -- The Logistic Regression Approach -- Finding the Best Fit: Maximum Likelihood Estimation -- Logistic Regression with Multiple Independent Variables -- Working with Probabilities.

"Student anxiety runs high given the seemingly intimidating nature of the methods course. Philip Pollock's first order of business is to get math-phobic students comfortable learning and using the tools of political analysis. Brief and accessible, his text walks students through the basics - measuring concepts, formulating and testing hypotheses, describing variables - and uses key terms, chapter-opening objectives, more than eighty tables and figures, and class-tested chapter exercises to promote skill application and aid student review. Fully up-to-date with new exercises and data, this third edition includes a new chapter devoted to measuring and describing variables, as well as fresh coverage of multiple regression and research design."--Publisher's website.

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