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A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods.

Tobias Koch1, Martin Schultze1, Michael Eid1

  • 1Department of Educational Science and Psychology, Freie Universität Berlin Berlin, Germany.

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Summary
This summary is machine-generated.

This study introduces a new model for analyzing longitudinal data in multitrait-multimethod (MTMM) designs. The Latent-State-Combination-Of-Methods (LS-COM) model effectively assesses construct validity with different methods over time.

Keywords:
MTMM modelinglongitudinal modelingmethod effectsmultilevel structural equation modelingmultirater datarater biassimulation study

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Area of Science:

  • Social sciences
  • Psychometrics
  • Longitudinal data analysis

Background:

  • Investigating attribute change and stability is crucial in social sciences.
  • Existing longitudinal models inadequately address construct validity in multitrait-multimethod (MTMM) designs.

Purpose of the Study:

  • To extend modeling approaches for longitudinal MTMM analysis.
  • To introduce a novel model for measurement designs with structurally different and interchangeable methods.

Main Methods:

  • Development of the Latent-State-Combination-Of-Methods (LS-COM) model.
  • A longitudinal multilevel Confirmatory Factor Analysis-Multitrait-Multimethod (CFA-MTMM) framework.
  • Simulation study to evaluate model parameter recovery.

Main Results:

  • The LS-COM model demonstrates good recovery of parameters and standard errors.
  • Effective parameter estimation was observed even with limited data points (five observations per parameter).

Conclusions:

  • The LS-COM model offers a valuable advancement for longitudinal MTMM research.
  • It provides a robust approach for assessing construct validity in complex longitudinal measurement designs.