A Multilevel CFA–MTMM Approach for Multisource Feedback Instruments: Presentation and Application of a New Statistical Model

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A Multilevel CFA–MTMM Approach for Multisource Feedback Instruments: Presentation and Application of a New Statistical Model. / Mahlke, Jana; Schultze, Martin; Koch, Tobias et al.
In: Structural Equation Modeling, Vol. 23, No. 1, 02.01.2016, p. 91-110.

Research output: Journal contributionsJournal articlesResearchpeer-review

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Mahlke J, Schultze M, Koch T, Eid M, Eckert R, Brodbeck FC. A Multilevel CFA–MTMM Approach for Multisource Feedback Instruments: Presentation and Application of a New Statistical Model. Structural Equation Modeling. 2016 Jan 2;23(1):91-110. doi: 10.1080/10705511.2014.990153

Bibtex

@article{2ab7d1e9e1f544fab7c0c3e5e13e92ab,
title = "A Multilevel CFA–MTMM Approach for Multisource Feedback Instruments: Presentation and Application of a New Statistical Model",
abstract = "Multisource feedback instruments are a widely used tool in human resource management. However, comprehensive validation studies remain scarce and there is a lack of statistical models that account appropriately for the complex data structure. Because both peers and subordinates are nested within the target but stem from different populations, the assumption of traditional multilevel structural equation models that the sample on a lower level stems from the same population is violated. We present a multilevel confirmatory factor analysis multitrait–multimethod (ML–CFA–MTMM) model that considers this peculiarity of multisource feedback instruments. The model is applied to 2 scales of the Benchmarks{\textregistered} instrument and it is demonstrated how measures of reliability and of convergent and discriminant validity can be obtained using multilevel structural equation modeling software. We discuss the results as well as some implications and guidelines for the use of the model.",
keywords = "confirmatory factor analysis, convergent and discriminant validity, method effects, multisource feedback, multisource feedback Related articles, confirmatory factor analysis, convergent and discriminant validity, Social Work and Social Pedagogics",
author = "Jana Mahlke and Martin Schultze and Tobias Koch and Michael Eid and Regina Eckert and Brodbeck, {Felix C.}",
year = "2016",
month = jan,
day = "2",
doi = "10.1080/10705511.2014.990153",
language = "English",
volume = "23",
pages = "91--110",
journal = "Structural Equation Modeling",
issn = "1070-5511",
publisher = "Taylor & Francis",
number = "1",

}

RIS

TY - JOUR

T1 - A Multilevel CFA–MTMM Approach for Multisource Feedback Instruments

T2 - Presentation and Application of a New Statistical Model

AU - Mahlke, Jana

AU - Schultze, Martin

AU - Koch, Tobias

AU - Eid, Michael

AU - Eckert, Regina

AU - Brodbeck, Felix C.

PY - 2016/1/2

Y1 - 2016/1/2

N2 - Multisource feedback instruments are a widely used tool in human resource management. However, comprehensive validation studies remain scarce and there is a lack of statistical models that account appropriately for the complex data structure. Because both peers and subordinates are nested within the target but stem from different populations, the assumption of traditional multilevel structural equation models that the sample on a lower level stems from the same population is violated. We present a multilevel confirmatory factor analysis multitrait–multimethod (ML–CFA–MTMM) model that considers this peculiarity of multisource feedback instruments. The model is applied to 2 scales of the Benchmarks® instrument and it is demonstrated how measures of reliability and of convergent and discriminant validity can be obtained using multilevel structural equation modeling software. We discuss the results as well as some implications and guidelines for the use of the model.

AB - Multisource feedback instruments are a widely used tool in human resource management. However, comprehensive validation studies remain scarce and there is a lack of statistical models that account appropriately for the complex data structure. Because both peers and subordinates are nested within the target but stem from different populations, the assumption of traditional multilevel structural equation models that the sample on a lower level stems from the same population is violated. We present a multilevel confirmatory factor analysis multitrait–multimethod (ML–CFA–MTMM) model that considers this peculiarity of multisource feedback instruments. The model is applied to 2 scales of the Benchmarks® instrument and it is demonstrated how measures of reliability and of convergent and discriminant validity can be obtained using multilevel structural equation modeling software. We discuss the results as well as some implications and guidelines for the use of the model.

KW - confirmatory factor analysis

KW - convergent and discriminant validity

KW - method effects

KW - multisource feedback

KW - multisource feedback Related articles

KW - confirmatory factor analysis

KW - convergent and discriminant validity

KW - Social Work and Social Pedagogics

UR - http://www.scopus.com/inward/record.url?scp=84933056370&partnerID=8YFLogxK

U2 - 10.1080/10705511.2014.990153

DO - 10.1080/10705511.2014.990153

M3 - Journal articles

VL - 23

SP - 91

EP - 110

JO - Structural Equation Modeling

JF - Structural Equation Modeling

SN - 1070-5511

IS - 1

ER -