Summary
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Subject index
Statistics for Political Analysis will be an introduction to stats geared to political science students. Marchant-Shapiro will focus on the statistical tools most often used by political scientists and will use political examples, cases, and data throughout to show students how to answer real questions about politics using real political data. Her goal is to provide clear and accessible explanation and instruction so students not only understand the math, but can do the math. But instead of focusing on equations, Marchant-Shapiro will take a “how to” approach to doing the math, making the book much more approachable to political science students. Each chapter follows a 4-part structure: 1) the concept will be introduced with a real world example; 2) the statistical measure will be calculated using math; 3) the statistical concept will be used to solve a real-world problem using a political example, and 4) the student will use the concept to solve another real-world problem. Her exercises include those requiring hand-calculations and those requiring a statistical package like SPSS, and ask students to produce memos to emphasize how marketable and applicable their new skills are to a broad array of careers and jobs.
Chi-Square and Cramer's V: What do You Expect?
Chi-Square and Cramer's V: What do You Expect?
The opening of the Olympic Games usually coincides with the quadrennial reopening of predictions of how many medals each country will win. Prognosticators can use many variables to predict how well each country will do. Frequently, they will include population size in their model because, presumably, the more people a country has, the more likely it is to have a large number of gifted athletes. Forecasters will also take the wealth of a nation into account because training even gifted athletes can be expensive. But although the human and financial resources may form a baseline of how well any given country will do, these augurs have noticed that there ...
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