Work

Modeling Time-Dependent Association in Longitudinal Data: A Lag as Moderator Approach

Year: 2012

Type: article

Abstract: We describe a straightforward, yet novel, approach to examine time-dependent association between variables. The approach relies on a measurement-lag research design in conjunction with statistical interaction models. We base arguments in favor of this approach on the potential for better understanding the associations between variables by describing how the association changes with time. We introduce a number of different functional forms for describing these lag-moderated associations, each with a different substantive meaning. Finally, we use empirical data to demonstrate methods for exploring functional forms and model fitting based on this approach.

Source: Multivariate Behavioral Research

DOI: 10.1080/00273171.2012.715557

Authors: James P. Selig, Kristopher J. Preacher, Todd D. Little

Institutions: University of New Mexico, Vanderbilt University, University of Kansas

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Award: Kansas Intellectual and Developmental Disabilities Research Center (KIDDRC)