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Regression Analysis in R - Jocelyn E. Bolin

Regression Analysis in R

A Comprehensive View for the Social Sciences
Buch | Softcover
180 Seiten
2022
Chapman & Hall/CRC (Verlag)
978-0-367-27258-6 (ISBN)
CHF 102,95 inkl. MwSt
This book covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation.
Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation giving them a solid framework from which to expand into more complicated regression models. Concepts are demonstrated using R software and real data examples.

Key Features:



Full output examples complete with interpretation
Full syntax examples to help teach R code
Appendix explaining basic R functions
Methods for multilevel data that are often included in basic regression texts
End of Chapter Comprehension Exercises

Jocelyn E. Bolin is professor in the Department of Educational Psychology at Ball State University, where she teaches courses on introductory and intermediate statistics, multiple regression analysis, and multilevel modeling to graduate students in social science disciplines. She earned a PhD in educational psychology from Indiana University Bloomington. Her research interests include statistical methods for classification and clustering and use of multilevel modeling in the social sciences.

1. The Issue of Causality. 2. Describing Simple Relationships. 3. Linear Regression Analysis. 4. Regression Assumptions and Interpretational Considerations. 5. Dummy Variables and Interactions. 6. Hierarchical Regression. 7. Moderation and Mediation. 8. Dealing with Non- Linearity. 9. Regression Models for Nested Data. 10. Fixed Effects Modeling.

Erscheinungsdatum
Reihe/Serie Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Zusatzinfo 4 Tables, black and white; 22 Line drawings, black and white; 8 Halftones, black and white; 30 Illustrations, black and white
Sprache englisch
Maße 156 x 234 mm
Gewicht 720 g
Themenwelt Geisteswissenschaften Psychologie Allgemeine Psychologie
Mathematik / Informatik Mathematik
Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 0-367-27258-X / 036727258X
ISBN-13 978-0-367-27258-6 / 9780367272586
Zustand Neuware
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