The Essentials of Political Analysis
Providing a strong conceptual foundation, The Essentials of Political Analysis walks students through the basics of measuring concepts, formulating and testing hypotheses, and describing variables. The author's engaging and straightforward prose clearly introduces key terms and concepts while chapter-opening objectives cue students to learning goals. Over eighty tables and figures enhance important textual material. Class-tested chapter exercises promote skill application and aid student review. Fans of Pollock's practical introduction to the methods course will appreciate the second edition's many improvements, from more comparative and international material to a brand new chapter on logistic regression. Introducing students to one of the discipline's most widely used statistical tools, students learn the logic of logistic regression, maximum likelihood estimation and how to convert logic into probabilities.
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What This Book Is and Is Not About
Explanations and Hypotheses
Describing Variables and Making Comparisons
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1996 National Election abortion average bar chart calculate causal central tendency Chapter characteristic chi-square column concept consider controlled comparisons cross-tabulation degrees of freedom Democrats dependent describe difference discussed dummy empirical equal estimate example explanation favor female Figure frequency gender gun control opinions high school Hillary Clinton hypothetical increase independent variable inferences interaction interpret interval-level variables level of education level of measurement likelihood logged odds logistic regression males mean comparison measures of association median National Election Study normal distribution null hypothesis observed odds of voting ordinal variables P-value partisan strength partisanship party identification pattern percentage political research population mean predicted probability of voting question R-square random sampling error regression analysis regression coefficient Republicans respondents sample mean sample proportion sample statistic score spurious relationship square standard deviation standard error Student's t-distribution Table thermometer ratings tion turnout units of analysis validity variable's voters women