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Article
A multi-method latent state-trait model for structurally different and interchangeable methods
Psychometrika
  • Christian Geiser, Utah State University
  • Tobias Koch, Leuphana University Lüneburg
  • Jana Holtmann, Freie Universität Berlin
  • Michael Eid, Freie Universität Berlin
Document Type
Article
Publisher
Psychometric Society
Publication Date
11-30-2016
DOI
10.1007/s11336-016-9541-x
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.
Citation Information
Christian Geiser, Tobias Koch, Jana Holtmann and Michael Eid. "A multi-method latent state-trait model for structurally different and interchangeable methods" Psychometrika Vol. 82 Iss. 1 (2016) p. 17 - 47
Available at: http://works.bepress.com/christian-geiser/13/