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Multilevel Modeling

Current and Future Applications in Personality Research

Bibliographic Data

ID19280463
AuthorsStephen G West (Arizona State University), Ehri Ryu (Boston College), Oi-Man Kwok (0000-0002-4617-4562, Mitchell Institute), Heining Cham (0000-0002-2933-056X, Arizona State University)
Year2011
Volume79
Issue1
Pages2-50
Publication date2011-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Personality (JOURNAL)
Journal identifiersISSN: 0022-3506 • E-ISSN: 1467-6494
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1467-6494.2010.00681.x
PMID21223263
OpenAlexW1850996311
LanguageEN
Citations received35
References cited67

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

Dependency (UML) · Econometrics · Machine learning · Multilevel model · Outlier · Personality · Regression analysis · Statistical model · Structural equation modeling · Artificial Intelligence · Behavioral Health and Interventions · Computer Science · Mathematics · Mental Health Research Topics · Psychological Well-being and Life Satisfaction · Psychology · Social Psychology

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Unique citing works35
Citations per year2,5
Citation span2012 - 2026 (15)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 28
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