Description

Book Synopsis
The Third Edition ofAn R Companion to Political Analysisby Philip H. Pollock III and Barry C. Edwards teaches your students to conduct political research with R, the open-source programming language and software environment for statistical computing and graphics. This workbookoffers the same easy-to-use and effective style as the other software companions to theEssentials of Political Analysis, tailored for R.With this comprehensive workbook, students analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (such as cross-tabulations and mean comparisons), controlled comparisons, correlation and bivariate regression, interaction effects, and logistic regression. The clear explanations and instructions are aided by the use of many annotated and labeled screen shots, as well as QR codes linking to demonstration videos. The many end-of-chapter exercises allow students to apply their new skills.

The Third

Table of Contents
Chapter 1: Using R for Data Analysis Chapter 2: Descriptive Statistics Chapter 3: Creating and Transforming Variables Chapter 4: Making Comparisons Chapter 5: Graphing Relationships and Describing Patterns Chapter 6: Random Assignment and Sampling Chapter 7: Making Controlled Comparisons Chapter 8: Foundations of Statistical Inference Chapter 9: Hypothesis Tests with One or Two Samples Chapter 10: Chi-Square Test and Analysis of Variance Chapter 11: Correlation and Bivariate Regression Chapter 12: Multiple Regression Chapter 13: Analyzing Regression Residuals Chapter 14: Logistic Regression Chapter 15: Doing Your Own Political Analysis

An R Companion to Political Analysis

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    Description

    Book Synopsis
    The Third Edition ofAn R Companion to Political Analysisby Philip H. Pollock III and Barry C. Edwards teaches your students to conduct political research with R, the open-source programming language and software environment for statistical computing and graphics. This workbookoffers the same easy-to-use and effective style as the other software companions to theEssentials of Political Analysis, tailored for R.With this comprehensive workbook, students analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (such as cross-tabulations and mean comparisons), controlled comparisons, correlation and bivariate regression, interaction effects, and logistic regression. The clear explanations and instructions are aided by the use of many annotated and labeled screen shots, as well as QR codes linking to demonstration videos. The many end-of-chapter exercises allow students to apply their new skills.

    The Third

    Table of Contents
    Chapter 1: Using R for Data Analysis Chapter 2: Descriptive Statistics Chapter 3: Creating and Transforming Variables Chapter 4: Making Comparisons Chapter 5: Graphing Relationships and Describing Patterns Chapter 6: Random Assignment and Sampling Chapter 7: Making Controlled Comparisons Chapter 8: Foundations of Statistical Inference Chapter 9: Hypothesis Tests with One or Two Samples Chapter 10: Chi-Square Test and Analysis of Variance Chapter 11: Correlation and Bivariate Regression Chapter 12: Multiple Regression Chapter 13: Analyzing Regression Residuals Chapter 14: Logistic Regression Chapter 15: Doing Your Own Political Analysis

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