Regression Analysis in R

Jocelyn E. Bolin

ISBN 10: 036727258X / ISBN 13: 9780367272586

Published by Chapman And Hall/CRC Jul 2022, 2022

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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 interpretationFull syntax examples to help teach R codeAppendix explaining basic R functionsMethods for multilevel data that are often included in basic regression textsEnd of Chapter Comprehension Exercises 194 pp. Englisch.

Seller Inventory # 9780367272586

Bibliographic Details

• Title: Regression Analysis in R
• Publisher: Chapman And Hall/CRC Jul 2022
• Publication Date: 2022
• Language: English
• ISBN 10: 036727258X
• ISBN 13: 9780367272586
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 11D millimeters 234 millimeters width by 156 millimeters height by 11 millimeters depth
• Weight: 304 grams

About this title

Synopsis

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

About the Author

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.