A Stata Companion for the Third Edition of The Fundamentals of Political Science Research

Kellstedt, Paul M.,Whitten, Guy D.

ISBN 10: 1108447961 / ISBN 13: 9781108447966

Published by Cambridge University Press, 2019

About this Item

Used books may not include access codes or one time use codes. Proven Seller with Excellent Customer Service. Choose expedited shipping and get it FAST. Seller Inventory # sun0000017956

Bibliographic Details

Title: A Stata Companion for the Third Edition of ...

Publisher: Cambridge University Press

Publication Date: 2019

Binding: paperback

Condition: Acceptable

Edition: 3rd Edition

About this title

Synopsis:

A Stata Companion for the Third Edition of The Fundamentals of Political Science Research offers students a chance to delve into the world of Stata using real political data sets and statistical analysis techniques directly from Paul M. Kellstedt and Guy D. Whitten's best-selling textbook. Built in parallel with the main text, this workbook teaches students to apply the techniques they learn in each chapter by reproducing the analyses and results from each lesson using Stata. Students will also learn to create all of the tables and figures found in the textbook, leading to an even greater mastery of the core material. This accessible, informative, and engaging companion walks through the use of Stata step-by-step, using command lines and screenshots to demonstrate proper use of the software. With the help of these guides, students will become comfortable creating, editing, and using data sets in Stata to produce original statistical analyses for evaluating causal claims. End-of-chapter exercises encourage this innovation by asking students to formulate and evaluate their own hypotheses.

Book Description:

This workbook teaches students how to use the popular Stata statistical software program to assess causal relationships using real political science data. It parallels the main Kellstedt and Whitten text, which allows students to apply the lessons and techniques they learn in each chapter in a statistical software setting.