A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods
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In: Frontiers in Psychology, Vol. 5, 311, 17.04.2014.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods
AU - Koch, Tobias
AU - Schultze, Martin
AU - Eid, Michael
AU - Geiser, Christian
PY - 2014/4/17
Y1 - 2014/4/17
N2 - One of the key interests in the social sciences is the investigation of change and stability of a given attribute. Although numerous models have been proposed in the past for analyzing longitudinal data including multilevel and/or latent variable modeling approaches, only few modeling approaches have been developed for studying the construct validity in longitudinal multitrait-multimethod (MTMM) measurement designs. The aim of the present study was to extend the spectrum of current longitudinal modeling approaches for MTMM analysis. Specifically, a new longitudinal multilevel CFA-MTMM model for measurement designs with structurally different and interchangeable methods (called Latent-State-Combination-Of-Methods model, LS-COM) is presented. Interchangeable methods are methods that are randomly sampled from a set of equivalent methods (e.g., multiple student ratings for teaching quality), whereas structurally different methods are methods that cannot be easily replaced by one another (e.g., teacher, self-ratings, principle ratings). Results of a simulation study indicate that the parameters and standard errors in the LS-COM model are well recovered even in conditions with only five observations per estimated model parameter. The advantages and limitations of the LS-COM model relative to other longitudinal MTMM modeling approaches are discussed.
AB - One of the key interests in the social sciences is the investigation of change and stability of a given attribute. Although numerous models have been proposed in the past for analyzing longitudinal data including multilevel and/or latent variable modeling approaches, only few modeling approaches have been developed for studying the construct validity in longitudinal multitrait-multimethod (MTMM) measurement designs. The aim of the present study was to extend the spectrum of current longitudinal modeling approaches for MTMM analysis. Specifically, a new longitudinal multilevel CFA-MTMM model for measurement designs with structurally different and interchangeable methods (called Latent-State-Combination-Of-Methods model, LS-COM) is presented. Interchangeable methods are methods that are randomly sampled from a set of equivalent methods (e.g., multiple student ratings for teaching quality), whereas structurally different methods are methods that cannot be easily replaced by one another (e.g., teacher, self-ratings, principle ratings). Results of a simulation study indicate that the parameters and standard errors in the LS-COM model are well recovered even in conditions with only five observations per estimated model parameter. The advantages and limitations of the LS-COM model relative to other longitudinal MTMM modeling approaches are discussed.
KW - Sociology
KW - multilevel structural equation modeling
KW - longitudinal modeling
KW - MTMM modeling
KW - multirater data
KW - rater bias
KW - method effects
KW - simulation study
UR - http://www.scopus.com/inward/record.url?scp=84899697394&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/b5a6655a-b20e-30b1-9df1-6917599916df/
U2 - 10.3389/fpsyg.2014.00311
DO - 10.3389/fpsyg.2014.00311
M3 - Journal articles
C2 - 24860515
AN - SCOPUS:84899697394
VL - 5
JO - Frontiers in Psychology
JF - Frontiers in Psychology
SN - 1664-1078
M1 - 311
ER -