Testing multilevel mediation using hierarchical linear models: Problems and solutions

Zhen Zhang, Michael J. Zyphur, Kristopher J. Preacher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Testing multilevel mediation using hierarchical linear modeling (HLM) has gained tremendous popularity in recently years. However, biases could arise when no centering or grand-mean centering is used in these models. This study first summarizes three types of HLM-based multilevel mediation models, and then explains that in two types of these models, biases are produced when using current procedures of testing multilevel mediation. A Monte Carlo study was conducted to illustrate that HLM applied to grand-mean-centered data can under- or overestimate true mediational effects. Recommendations are provided with regard to the differentiation of within-group versus between-group mediation in multilevel settings.

Original languageEnglish (US)
Title of host publicationAcademy of Management 2008 Annual Meeting: The Questions We Ask, AOM 2008
StatePublished - 2008
Event68th Annual Meeting of the Academy of Management, AOM 2008 - Anaheim, CA, United States
Duration: Aug 8 2008Aug 13 2008

Other

Other68th Annual Meeting of the Academy of Management, AOM 2008
CountryUnited States
CityAnaheim, CA
Period8/8/088/13/08

Fingerprint

Testing
Hierarchical linear models
Mediation
Hierarchical linear modeling
Monte Carlo study

Keywords

  • Hierarchical linear models
  • Mediation
  • Multilevel models

ASJC Scopus subject areas

  • Management Information Systems
  • Management of Technology and Innovation

Cite this

Zhang, Z., Zyphur, M. J., & Preacher, K. J. (2008). Testing multilevel mediation using hierarchical linear models: Problems and solutions. In Academy of Management 2008 Annual Meeting: The Questions We Ask, AOM 2008

Testing multilevel mediation using hierarchical linear models : Problems and solutions. / Zhang, Zhen; Zyphur, Michael J.; Preacher, Kristopher J.

Academy of Management 2008 Annual Meeting: The Questions We Ask, AOM 2008. 2008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, Z, Zyphur, MJ & Preacher, KJ 2008, Testing multilevel mediation using hierarchical linear models: Problems and solutions. in Academy of Management 2008 Annual Meeting: The Questions We Ask, AOM 2008. 68th Annual Meeting of the Academy of Management, AOM 2008, Anaheim, CA, United States, 8/8/08.
Zhang Z, Zyphur MJ, Preacher KJ. Testing multilevel mediation using hierarchical linear models: Problems and solutions. In Academy of Management 2008 Annual Meeting: The Questions We Ask, AOM 2008. 2008
Zhang, Zhen ; Zyphur, Michael J. ; Preacher, Kristopher J. / Testing multilevel mediation using hierarchical linear models : Problems and solutions. Academy of Management 2008 Annual Meeting: The Questions We Ask, AOM 2008. 2008.
@inproceedings{a4e7132c92e24129aabef9553d2ab4ef,
title = "Testing multilevel mediation using hierarchical linear models: Problems and solutions",
abstract = "Testing multilevel mediation using hierarchical linear modeling (HLM) has gained tremendous popularity in recently years. However, biases could arise when no centering or grand-mean centering is used in these models. This study first summarizes three types of HLM-based multilevel mediation models, and then explains that in two types of these models, biases are produced when using current procedures of testing multilevel mediation. A Monte Carlo study was conducted to illustrate that HLM applied to grand-mean-centered data can under- or overestimate true mediational effects. Recommendations are provided with regard to the differentiation of within-group versus between-group mediation in multilevel settings.",
keywords = "Hierarchical linear models, Mediation, Multilevel models",
author = "Zhen Zhang and Zyphur, {Michael J.} and Preacher, {Kristopher J.}",
year = "2008",
language = "English (US)",
booktitle = "Academy of Management 2008 Annual Meeting: The Questions We Ask, AOM 2008",

}

TY - GEN

T1 - Testing multilevel mediation using hierarchical linear models

T2 - Problems and solutions

AU - Zhang, Zhen

AU - Zyphur, Michael J.

AU - Preacher, Kristopher J.

PY - 2008

Y1 - 2008

N2 - Testing multilevel mediation using hierarchical linear modeling (HLM) has gained tremendous popularity in recently years. However, biases could arise when no centering or grand-mean centering is used in these models. This study first summarizes three types of HLM-based multilevel mediation models, and then explains that in two types of these models, biases are produced when using current procedures of testing multilevel mediation. A Monte Carlo study was conducted to illustrate that HLM applied to grand-mean-centered data can under- or overestimate true mediational effects. Recommendations are provided with regard to the differentiation of within-group versus between-group mediation in multilevel settings.

AB - Testing multilevel mediation using hierarchical linear modeling (HLM) has gained tremendous popularity in recently years. However, biases could arise when no centering or grand-mean centering is used in these models. This study first summarizes three types of HLM-based multilevel mediation models, and then explains that in two types of these models, biases are produced when using current procedures of testing multilevel mediation. A Monte Carlo study was conducted to illustrate that HLM applied to grand-mean-centered data can under- or overestimate true mediational effects. Recommendations are provided with regard to the differentiation of within-group versus between-group mediation in multilevel settings.

KW - Hierarchical linear models

KW - Mediation

KW - Multilevel models

UR - http://www.scopus.com/inward/record.url?scp=84863343279&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863343279&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84863343279

BT - Academy of Management 2008 Annual Meeting: The Questions We Ask, AOM 2008

ER -