9781138480674-1138480673-Multilevel Modeling Using R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Multilevel Modeling Using R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

ISBN-13: 9781138480674
ISBN-10: 1138480673
Edition: 2
Author: Finch, W. Holmes, Bolin, Jocelyn E., Kelley, Ken
Publication date: 2019
Publisher: Chapman and Hall/CRC
Format: Paperback 252 pages
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Book details

ISBN-13: 9781138480674
ISBN-10: 1138480673
Edition: 2
Author: Finch, W. Holmes, Bolin, Jocelyn E., Kelley, Ken
Publication date: 2019
Publisher: Chapman and Hall/CRC
Format: Paperback 252 pages

Summary

Acknowledged authors Finch, W. Holmes, Bolin, Jocelyn E., Kelley, Ken wrote Multilevel Modeling Using R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) comprising 252 pages back in 2019. Textbook and eTextbook are published under ISBN 1138480673 and 9781138480674. Since then Multilevel Modeling Using R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) textbook was available to sell back to BooksRun online for the top buyback price of $ 25.01 or rent at the marketplace.

Description

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment.

After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data.

New in the Second Edition:

  • Features the use of lmer (instead of lme) and including the most up to date approaches for obtaining confidence intervals for the model parameters.
  • Discusses measures of R2 (the squared multiple correlation coefficient) and overall model fit.
  • Adds a chapter on nonparametric and robust approaches to estimating multilevel models, including rank based, heavy tailed distributions, and the multilevel lasso.
  • Includes a new chapter on multivariate multilevel models.
  • Presents new sections on micro-macro models and multilevel generalized additive models.

This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research.

About the Authors:

W. Holmes Finch

is the George and Frances Ball Distinguished Professor of Educational Psychology at Ball State University.

Jocelyn E. Bolin

is a Professor in the Department of Educational Psychology at Ball State University.

Ken Kelley

is the Edward F. Sorin Society Professor of IT, Analytics and Operations and the Associate Dean for Faculty and Research for the Mendoza College of Business at the University of Notre Dame.
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