European University Institute Library

An SPSS companion for the third edition of The fundamentals of political science research, Paul M. Kellstedt, Guy D. Whitten

Label
An SPSS companion for the third edition of The fundamentals of political science research, Paul M. Kellstedt, Guy D. Whitten
Language
eng
Bibliography note
Includes bibliographical references and index
Index
index present
Literary Form
non fiction
Main title
An SPSS companion for the third edition of The fundamentals of political science research
Nature of contents
bibliography
Oclc number
1154072229
Responsibility statement
Paul M. Kellstedt, Guy D. Whitten
Summary
"An SPSS Companion for the Third Edition of The Fundamentals of Political Science Research offers students a chance to delve into the world of SPSS using real political science 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 SPSS. 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 SPSS 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 SPSS 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"--, Provided by publisher
Table Of Contents
The scientific study of politics -- The art of theory building -- Evaluating causal relationships -- Research design -- Measuring concepts of interest -- Getting to know your data -- Probability and statistical inference -- Bivariate hypothesis testing -- Two-variable regression models -- Multiple regression : the basics -- Multiple regression model specification -- Limited dependent variables and time-series data
Content
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