Document Detail


Multilevel modeling: current and future applications in personality research.
MedLine Citation:
PMID:  21223263     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
Traditional statistical analyses can be compromised when data are collected from groups or multiple observations are collected from individuals. We present an introduction to multilevel models designed to address dependency in data. We review current use of multilevel modeling in 3 personality journals showing use concentrated in the 2 areas of experience sampling and longitudinal growth. Using an empirical example, we illustrate specification and interpretation of the results of series of models as predictor variables are introduced at Levels 1 and 2. Attention is given to possible trends and cycles in longitudinal data and to different forms of centering. We consider issues that may arise in estimation, model comparison, model evaluation, and data evaluation (outliers), highlighting similarities to and differences from standard regression approaches. Finally, we consider newer developments, including 3-level models, cross-classified models, nonstandard (limited) dependent variables, multilevel structural equation modeling, and nonlinear growth. Multilevel approaches both address traditional problems of dependency in data and provide personality researchers with the opportunity to ask new questions of their data.
Authors:
Stephen G West; Ehri Ryu; Oi-Man Kwok; Heining Cham
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of personality     Volume:  79     ISSN:  1467-6494     ISO Abbreviation:  J Pers     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-01-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2985194R     Medline TA:  J Pers     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2-50     Citation Subset:  IM    
Copyright Information:
© 2011 The Authors. Journal of Personality © 2011, Wiley Periodicals, Inc.
Affiliation:
Psychology Department, Arizona State University, Tempe, AZ 85287-1104, USA. sgwest@asu.edu
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