A Comparison of Multilevel Mediation Modeling Methods: Recommendations for Applied Researchers.

Journal Article (Journal Article)

Multilevel structural equation modeling (MSEM) has been proposed as a valuable tool for estimating mediation in multilevel data and has known advantages over traditional multilevel modeling, including conflated and unconflated techniques (CMM & UMM). Recent methodological research has focused on comparing the three methods for 2-1-1 designs, but in regards to 1-1-1 mediation designs, there are significant gaps in the published literature that prevent applied researchers from making educated decisions regarding which model to employ in their own specific research design. A Monte Carlo study was performed to compare MSEM, UMM, and CMM on relative bias, confidence interval coverage, Type I Error, and power in a 1-1-1 model with random slopes under varying data conditions. Recommendations for applied researchers are discussed and an empirical example provides context for the three methods.

Full Text

Duke Authors

Cited Authors

  • Zigler, CK; Ye, F

Published Date

  • May 2019

Published In

Volume / Issue

  • 54 / 3

Start / End Page

  • 338 - 359

PubMed ID

  • 30663388

Electronic International Standard Serial Number (EISSN)

  • 1532-7906

Digital Object Identifier (DOI)

  • 10.1080/00273171.2018.1527676

Language

  • eng

Conference Location

  • United States