Regression Analysis and Linear Models
eBook - PDF

Regression Analysis and Linear Models

Concepts, Applications, and Implementation

  1. 661 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Regression Analysis and Linear Models

Concepts, Applications, and Implementation

About this book

Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS.

Pedagogical Features:
*Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification.
*An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses.
*Students are guided to practice what they learn in each chapter using datasets provided online.
*Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

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Yes, you can access Regression Analysis and Linear Models by Richard B. Darlington,Andrew F. Hayes in PDF and/or ePUB format, as well as other popular books in Scienze sociali & Statistiche per il settore aziendale ed economico. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title Page
  3. Series Page
  4. Title Page
  5. Copyright
  6. Series Editor’s Note
  7. Preface
  8. List of Symbols and Abbreviations
  9. Contents
  10. List of Symbols and Abbreviations
  11. 1. Statistical Control and Linear Models
  12. 2. The Simple Regression Model
  13. 3 Partial Relationship and the Multiple Regression Model
  14. 4. Statistical Inference in Regression
  15. 5. Extending Regression Analysis Principles
  16. 6. Statistical versus Experimental Control
  17. 7. Regression for Prediction
  18. 8. Assessing the Importance of Regressors
  19. 9. Multicategorical Regressors
  20. 10. More on Multicategorical Regressors
  21. 11. Multiple Tests
  22. 12. Nonlinear Relationships
  23. 13. Linear Interaction
  24. 14. Probing Interactions and Various Complexities
  25. 15. Mediation and Path Analysis
  26. 16. Detecting and Managing Irregularities
  27. 17. Power, Measurement Error, and Various Miscellaneous Topics
  28. 18. Logistic Regression and Other Linear Models
  29. Appendices
  30. References
  31. Author Index
  32. Subject Index
  33. About the Authors