An R Companion for The Fundamentals of Social Research
eBook - PDF

An R Companion for The Fundamentals of Social Research

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

An R Companion for The Fundamentals of Social Research

About this book

An R Companion for The Fundamentals of Social Research offers students the opportunity to delve into the world of R using real data sets and statistical analysis techniques directly from Paul M. Kellstedt, Guy D. Whitten, and Steven A. Tuch's new textbook. Workbook sections parallel chapters in the main text, giving students a chance to apply the lessons and techniques learned in each chapter in a statistical software setting. Detailed chapters teach students to reproduce results presented in the textbook, allowing them to become comfortable performing statistical analyses for evaluating causal claims through repeated practice. Step-by-step instructions for using R are provided, along with command lines and screenshots to demonstrate proper use of the software. Instructions for producing the figures and tables in the main text are integrated throughout the workbook. End-of-chapter exercises encourage students to formulate and evaluate their own hypotheses.

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Yes, you can access An R Companion for The Fundamentals of Social Research by Paul M. Kellstedt,Guy D. Whitten,Steven A. Tuch 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. List of Figures
  8. Preface
  9. 1 The Scientific Study of Society
  10. 2 The Art of Theory Building
  11. 3 Evaluating Causal Relationships
  12. 4 Research Design
  13. 5 Survey Research
  14. 6 Measuring Concepts of Interest
  15. 7 Getting to Know Your Data
  16. 8 Probability and Statistical Inference
  17. 9 Bivariate Hypothesis Testing
  18. 10 Two-Variable Regression Models
  19. 11 Multiple Regression
  20. 12 Putting It All Together to Produce Effective Research
  21. References
  22. Index