Psychology, Department of
Date of this Version
2009
Abstract
Relationships among multiple variables over time are of interest in many developmental areas and are frequently examined using time-varying predictors in multilevel models. Yet an incomplete specification of time-varying predictors will usually result in biased model effects. Specifically, the impact of constant, between-person sources of variation must be differentiated from the impact of time-specific, within-person sources of variation -that is, persons should be modeled as contexts. The current didactic article expands upon previous work to address why and how to model persons as contexts in longitudinal analysis. An electronic appendix of syntax for estimating these models is also provided.
Comments
Published in Research in Human Development, (2009) 6(2-3): 97-120. Copyright 2009, Taylor & Francis Group. Used by permission. DOI: 10.1080/15427600902911189