TY - JOUR
T1 - Modeling Time-Dependent Association in Longitudinal Data
T2 - A Lag as Moderator Approach
AU - Selig, James P.
AU - Preacher, Kristopher J.
AU - Little, Todd D.
N1 - Funding Information:
Partial support for this project was provided by a National Science Foundation grant (no. 1053160) awarded to Todd D. Little.
PY - 2012/9
Y1 - 2012/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84868250837&partnerID=8YFLogxK
U2 - 10.1080/00273171.2012.715557
DO - 10.1080/00273171.2012.715557
M3 - Article
AN - SCOPUS:84868250837
VL - 47
SP - 697
EP - 716
JO - Multivariate Behavioral Research
JF - Multivariate Behavioral Research
SN - 0027-3171
IS - 5
ER -