Regression Analysis in R: A Comprehensive View for the Social Sciences

Author:   Jocelyn E. Bolin (Ball State University, Department of Educational Psychology)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367272586


Pages:   180
Publication Date:   27 July 2022
Format:   Paperback
Availability:   In Print   Availability explained
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Regression Analysis in R: A Comprehensive View for the Social Sciences


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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

Full Product Details

Author:   Jocelyn E. Bolin (Ball State University, Department of Educational Psychology)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.720kg
ISBN:  

9780367272586


ISBN 10:   036727258
Pages:   180
Publication Date:   27 July 2022
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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.

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