An SPSS Companion for the Third Edition of The Fundamentals of Political Science Research
eBook - PDF

An SPSS Companion for the Third Edition of The Fundamentals of Political Science Research

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

An SPSS Companion for the Third Edition of The Fundamentals of Political Science Research

About this book

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.

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Yes, you can access An SPSS Companion for the Third Edition of The Fundamentals of Political Science Research by Paul M. Kellstedt,Guy D. Whitten in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Brief Contents
  6. Contents
  7. Preface
  8. List of Figures
  9. 1 The Scientific Study of Politics
  10. 2 The Art of Theory Building
  11. 3 Evaluating Causal Relationships
  12. 4 Research Design
  13. 5 Measuring Concepts of Interest
  14. 6 Getting to Know Your Data
  15. 7 Probability and Statistical Inference
  16. 8 Bivariate Hypothesis Testing
  17. 9 Two-Variable Regression Models
  18. 10 Multiple Regression: the Basics
  19. 11 Multiple Regression Model Specification
  20. 12 Limited Dependent Variables and Time-Series Data
  21. Bibliography
  22. Index