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1 results

  • A Multimethod Latent State-Trait Model for Structurally Different And Interchangeable Methods

  • Tobias Koch, Martin Schultze, Jana Holtmann, Christian Geiser, Michael Eid
  • Journal:
    Psychometrika / Volume 82 / Issue 1 / March 2017
    Published online by Cambridge University Press:
    01 January 2025, pp. 17-47

  • A new multiple indicator multilevel latent state-trait (LST) model for the analysis of multitrait–multimethod–multioccasion (MTMM-MO) data is proposed. The LST-COM model combines current CFA-MTMM modeling approaches of interchangeable and structurally different methods and LST modeling approaches. The model enables researchers to specify construct and method factors on the level of time-stable (trait) as well as time-variable (occasion-specific) latent variables and analyze the convergent and discriminant validity among different rater groups across time. The statistical performance of the model is scrutinized by a simulation study and guidelines for empirical applications are provided.