Political Science Research

Political Science Research
Author: Laurence F. Jones
Publisher: Addison-Wesley Longman
Total Pages: 456
Release: 1996
Genre: Political Science
ISBN:

This text introduces students to the discipline of political science and the research process by teaching them how to conduct basic political research without overwhelming them with statistical theorizing and calculation. Political Science Research has three objectives. First, it gives students the scope of the discipline by acquainting them with what political scientists do and study. Second, it familiarizes readers with the methods that political scientists use to examine pertinent questions. Third, the text guides readers through each stage of the research process: topic selection, literature review, hypothesis formulation, data collection, input and analysis, and the writing of the final report.

Nature And Scope Of Political Science

Nature And Scope Of Political Science
Author: Raj Kumar Pruthi
Publisher: Discovery Publishing House
Total Pages: 262
Release: 2005
Genre:
ISBN: 9788171419937

Contents: Introduction, Human Society: Its Development, The Nature, Scope and Method of Political Science, The Purpose of the State, The Nature of the State, The Origin of the State, The Sphere of the State, The Justification and End of the State, The Historical Development of the State, Modern Theories of the State, State and Society A General View of their Relations.

An R Companion to Political Analysis

An R Companion to Political Analysis
Author: Philip H. Pollock III
Publisher: CQ Press
Total Pages: 210
Release: 2017-04-12
Genre: Political Science
ISBN: 1506368832

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 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. "Students will love this book, as will their teachers." – Courtney Brown, Emory University