A Microsoft Excel R Companion To Political Analysis

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A Microsoft Excel® Companion to Political Analysis

The trusted series of workbooks by Philip H. Pollock III and Barry C. Edwards continues with A Microsoft Excel®Companion to Political Analysis. In this new guide, students dive headfirst into actual political data working with the ubiquitous Excel software. Students learn by doing with new guided examples, annotated screenshots, step-by-step instructions, and exercises that reflect current scholarly debates in varied subfields of political science, including American politics, comparative politics, law and courts, and international relations. Chapters cover all major topics in political data analysis, from descriptive statistics through logistic regression, all with worked examples and exercises in Excel. No matter their professional goals, students can gain a leg up for their future careers by developing a working knowledge of statistics using Excel. By encouraging students to build on their existing familiarity with the Excel program, instructors can flatten the statistics learning curve and take some of the intimidation out of the learning process. Gain lost time usually spent troubleshooting software to provide students with a smooth transition into political analysis.
A Microsoft Excel® Companion to Political Analysis

The trusted series of workbooks by Philip H. Pollock III and Barry C. Edwards continues with A Microsoft Excel(R)Companion to Political Analysis. In this new guide, students dive headfirst into actual political data working with the ubiquitous Excel software. Students learn by doing with new guided examples, annotated screenshots, step-by-step instructions, and exercises that reflect current scholarly debates in varied subfields of political science, including American politics, comparative politics, law and courts, and international relations. Chapters cover all major topics in political data analysis, from descriptive statistics through logistic regression, all with worked examples and exercises in Excel. No matter their professional goals, students can gain a leg up for their future careers by developing a working knowledge of statistics using Excel. By encouraging students to build on their existing familiarity with the Excel program, instructors can flatten the statistics learning curve and take some of the intimidation out of the learning process. Gain lost time usually spent troubleshooting software to provide students with a smooth transition into political analysis.
An R Companion to Political Analysis

Teach your students to conduct political research using R, the open source programming language and software environment for statistical computing and graphics. An R Companion to Political Analysis by Philip H. Pollock III and Barry C. Edwards offers the same easy-to-use and effective style as the best-selling SPSS and Stata Companions. The all-new Second Edition includes new and revised exercises and datasets showing students how to analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and instruction is accompanied by annotated and labeled screen shots and end-of-chapter exercises to help students apply what they have learned.