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The Fifth Edition of A Stata® Companion to Political Analysis by
Philip H. Pollock III and Barry C. Edwards teaches your students
statistics by analyzing research-quality data in Stata. It
follows the structure of Essentials of Political
Analysis with software instructions, explanations of tests,
and many exercises for practice.Â
"[The text] provides by far the best introduction for students
wanting to learn how to use SPSS in conducting statistical
analysis. Its clear in-depth examples makes data analysis
accessible to even the most numbers-phobic student." -Michael
Burch, Eckerd College In Pollock's trusted IBM SPSS (R) workbook,
students dive headfirst into actual political data and work with a
software tool that prepares them not only for future political
science research, but the job world as well. Students learn by
doing with new guided examples, annotated screenshots, step-by-step
instructions, and exercises that reflect current scholarly debates
in American political behavior and comparative politics. This Sixth
Edition of An IBM SPSS (R) Companion to Political Analysis features
thoroughly revised and updated datasets and is compatible with all
post-12 releases of SPSS. Give your students the SAGE edge! SAGE
edge offers a robust online environment featuring an impressive
array of free tools and resources for review, study, and further
exploration, keeping both instructors and students on the cutting
edge of teaching and learning.
The Third Edition of An R Companion to Political Analysis by 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 workbook offers the same easy-to-use and effective
style as the other software companions to the Essentials 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 Edition includes new and revised exercises, along
with new and updated datasets from the 2020 American National
Election Study, an experiment dataset, and two aggregate datasets,
one on 50 U.S. states and one based on countries of the world. A
new structure helps break up individual elements of political
analysis for deeper explanation while an updated suite of R
functions makes using R even easier. Students will gain valuable
skills learning to analyze political data in R.
"This textbook is a great resource for teaching students how to
conduct basic quantitative analysis using Stata. It provides
intuitive examples from real data sets. I think it is a great
resource for teaching students how to carry their own research
projects." -Sabri Ciftci, Kansas State University Popular for its
speed, flexibility, and attractive graphics, Stata is a powerful
tool for political science students. With Philip Pollock's Fourth
Edition of A Stata (R) Companion to Political Analysis, students
quickly learn Stata via step-by-step instruction, more than 50
exercises, customized datasets, annotated screen shots, boxes that
highlight Stata's special capabilities, and guidance on using Stata
to read raw data. This attractive and value-priced workbook, an
ideal complement to Pollock's Essentials of Political Analysis, is
a must-have for any political science student working with Stata.
Give your students the SAGE edge! SAGE edge offers a robust online
environment featuring an impressive array of free tools and
resources for review, study, and further exploration, keeping both
instructors and students on the cutting edge of teaching and
learning.
"Pollock and Edwards explain the nuts-and-bolts of research design
and data analysis in a clear and concise style. The Essential of
Political Analysis is an intuitive introduction to complex
material, replete with examples from the political science
literature that add relevance to statistical concepts. This text
offers students an excellent balance between the technical and the
practical." -Francis Neely, San Francisco State University Gain the
skills you need to conduct political analysis and critically assess
statistical research. In this Sixth Edition of The Essentials of
Political Science, bestselling authors Philip H. Pollock III and
Barry C. Edwards build students' analytic abilities and develop
their statistical reasoning with new data, fresh exercises, and
accessible examples. This brief, accessible guide walks students
through the essentials-measuring concepts, formulating and testing
hypotheses, describing variables-while using key terms,
chapter-opening objectives, over 80 tables and figures, and
practical exercises to get them using and applying their new
skills. Using SPSS, STATA or R? Discounted package deals available
with Philip H. Pollock's companion workbooks. . Give your students
the SAGE edge! SAGE edge offers a robust online environment
featuring an impressive array of free tools and resources for
review, study, and further exploration, keeping both instructors
and students on the cutting edge of teaching and learning.
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
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