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Article
A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods
Frontiers in Psychology: Quantitative Psychology and Measurement
  • Christian Geiser, Utah State University
  • Tobias Koch, Freie Universität Berlin
  • Martin Schultze, Freie Universität Berlin
  • Michael Eid, Freie Universität Berlin
Document Type
Article
Publisher
Frontiers
Publication Date
4-17-2014
DOI
10.3389/fpsyg.2014.00311
Abstract

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.

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Citation Information
Christian Geiser, Tobias Koch, Martin Schultze and Michael Eid. "A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods" Frontiers in Psychology: Quantitative Psychology and Measurement Vol. 5 (2014)
Available at: http://works.bepress.com/christian-geiser/7/