title: A Multimethod Latent State-Trait Model for Structurally Different And Interchangeable Methods.
abstract: 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.
authors.affiliation: Leuphana Universität Lüneburg, Lüneburg, Germany. tobias.koch@leuphana.de.
authors.forename: Tobias
authors.initials: T
authors.lastname: Koch
authors.affiliation: Freie Universität Berlin, Berlin, Germany.
authors.forename: Martin
authors.initials: M
authors.lastname: Schultze
authors.affiliation: Freie Universität Berlin, Berlin, Germany.
authors.forename: Jana
authors.initials: J
authors.lastname: Holtmann
authors.affiliation: Utah State University, Logan, USA.
authors.forename: Christian
authors.initials: C
authors.lastname: Geiser
authors.affiliation: Freie Universität Berlin, Berlin, Germany.
authors.forename: Michael
authors.initials: M
authors.lastname: Eid
mesh_terms: D006801:Humans; D008137:Longitudinal Studies; D008603:Mental Health; D008960:Models, Psychological; D015233:Models, Statistical; D055361:Multilevel Analysis; D010379:Peer Group; D011594:Psychometrics; D057566:Self Report; D012944:Social Support; D013334:Students / Q000523:psychology*
keywords: CFA-MTMM; interchangeable methods; latent state-trait (LST) theory; multilevel structural equation modeling; structurally different methods