Testing mediation effects in cross-classified multilevel data. Academic Article uri icon

abstract

  • In this article, we propose an approach to test mediation effects in cross-classified multilevel data in which the initial cause is associated with one crossed factor, the mediator is associated with the other crossed factor, and the outcome is associated with Level-1 units (i.e., the 2(A)2(B)1 design). Multiple-membership models and cross-classified random effects models are used to estimate the indirect effects. The method is illustrated using real data from the Early Childhood Longitudinal Study-Kindergarten Cohort (1998). The results from the simulation study show that the proposed method can produce a consistent estimate of the indirect effect and reliable statistical inferences, given an adequate sample size.

published proceedings

  • Behav Res Methods

author list (cited authors)

  • Luo, W.

citation count

  • 8

complete list of authors

  • Luo, Wen

publication date

  • April 2017