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

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.

authors

• Luo, Wen

published proceedings

• Behav Res Methods

author list (cited authors)

• Luo, W.

citation count

• 11

complete list of authors

• Luo, Wen

publication date

• January 2017

publisher

• Springer Nature  Publisher

published in

• Behavior Research Methods  Journal

keywords

• Computer Simulation
• Cross-classified Multilevel Data
• Cross-classified Random Effects Models
• Humans
• Longitudinal Studies
• Mediation Analysis
• Models, Statistical
• Multiple Membership Models
• Research Design

Digital Object Identifier (DOI)

• 10.3758/s13428-016-0723-3

start page

• 674

end page

• 684

volume

• 49

issue

• 2

URL

• http://dx.doi.org/10.3758/s13428-016-0723-3