A Multimethod Latent State-Trait Model for Structurally Different and Interchangeable Methods
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Authors
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.
| Original language | English |
|---|---|
| Journal | Psychometrika |
| Volume | 82 |
| Issue number | 1 |
| Pages (from-to) | 17-47 |
| Number of pages | 31 |
| ISSN | 0033-3123 |
| DOIs | |
| Publication status | Published - 01.03.2017 |
Bibliographical note
Publisher Copyright:
© 2016, The Psychometric Society.
- Psychology(all)
- Applied Mathematics
ASJC Scopus Subject Areas
- Economics, empirical/statistics - CFA-MTMM, interchangeable methods, latent state-trait (LST) theory, multilevel structural equation modeling, structurally different methods