A Primer on Multilevel Modeling

Multilevel modeling (MLM) is growing in use throughout the social sciences. Although daunting from a mathematical perspective, MLM is relatively easy to employ once some basic concepts are understood. In this article, I present a primer on MLM, describing some of these principles and applying them to the analysis of a multilevel data set on doctor-patient communication during medical consultations.

[1]  Craig K. Enders,et al.  Using the SPSS Mixed Procedure to Fit Cross-Sectional and Longitudinal Multilevel Models , 2005 .

[2]  Terry E. Duncan,et al.  An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition , 1999 .

[3]  Of Matters Micro and Macro , 1991 .

[4]  Paul D. Bliese,et al.  Being Both Too Liberal and Too Conservative: The Perils of Treating Grouped Data as though They Were Independent , 2004 .

[5]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[6]  Anthony S. Bryk,et al.  Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .

[7]  B. Byrne,et al.  Modeling and Testing Change: An Introduction to the Latent Growth Curve Model , 2003 .

[8]  C. Morrell,et al.  Likelihood ratio testing of variance components in the linear mixed-effects model using restricted maximum likelihood. , 1998, Biometrics.

[9]  Carol M. Worthman,et al.  Estimating between- and within-individual variation in cortisol levels using multilevel models , 2005, Psychoneuroendocrinology.

[10]  M. Slater,et al.  Effects of alcohol advertising exposure on drinking among youth. , 2006, Archives of pediatrics & adolescent medicine.

[11]  Roel Bosker,et al.  Multilevel analysis : an introduction to basic and advanced multilevel modeling , 1999 .

[12]  Judith D. Singer,et al.  Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models , 1998 .

[13]  Gregory Camilli,et al.  Application of a Method of Estimating DIF for Polytomous Test Items , 1999 .

[14]  I G Kreft,et al.  The Effect of Different Forms of Centering in Hierarchical Linear Models. , 1995, Multivariate behavioral research.

[15]  Randall C. Swaim,et al.  Violent Media Content and Aggressiveness in Adolescents , 2003, Commun. Res..

[16]  Jan de Leeuw,et al.  Introducing Multilevel Modeling , 1998 .

[17]  Martijn P. F. Berger,et al.  Design Issues for Experiments in Multilevel Populations , 2000 .

[18]  D. A. Kenny,et al.  Consequences of violating the independence assumption in analysis of variance. , 1986 .

[19]  O. Paccagnella Centering or Not Centering in Multilevel Models? The Role of the Group Mean and the Assessment of Group Effects , 2006, Evaluation review.

[20]  Anthony S. Bryk,et al.  Application of Hierarchical Linear Models to Assessing Change , 1987 .

[21]  Sally Jackson,et al.  Random Factors in ANOVA , 1993 .

[22]  J. Singer,et al.  Applied Longitudinal Data Analysis , 2003 .

[23]  S. Raudenbush Statistical analysis and optimal design for cluster randomized trials , 1997 .

[24]  Guang Guo,et al.  Multilevel Modeling for Binary Data , 2000 .

[25]  Jack M. McLeod,et al.  Multilevel Analysis in Mass Communication Research , 1991 .

[26]  Andrew F. Hayes,et al.  Statistical Methods for Communication Science , 2005 .