Data-Generating Mechanisms Versus Constructively Defined Latent Variables in Multitrait–Multimethod Analysis: A Comment on Castro-Schilo, Widaman, and Grimm (2013)

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

In a recent article, Castro-Schilo, Widaman, and Grimm (2013) compared different approaches for relating multitrait–multimethod (MTMM) data to external variables. Castro-Schilo et al. reported that estimated associations with external variables were in part biased when either the correlated traits–correlated uniqueness (CT-CU) or correlated traits–correlated (methods–1) [CT-C(M–1)] models were fit to data generated from the correlated traits–correlated methods (CT-CM) model, whereas the data-generating CT-CM model accurately reproduced these associations. Castro-Schilo et al. argued that the CT-CM model adequately represents the data-generating mechanism in MTMM studies, whereas the CT-CU and CT-C(M–1) models do not fully represent the MTMM structure. In this comment, we question whether the CT-CM model is more plausible as a data-generating model for MTMM data than the CT-C(M–1) model. We show that the CT-C(M–1) model can be formulated as a reparameterization of a basic MTMM true score model that leads to a meaningful and parsimonious representation of MTMM data. We advocate the use confirmatory factor analysis MTMM models in which latent trait, method, and error variables are explicitly and constructively defined based on psychometric theory.
Original languageEnglish
JournalStructural Equation Modeling: A Multidisciplinary Journal
Volume21
Issue number4
Pages (from-to)509-523
Number of pages15
DOIs
Publication statusPublished - 02.10.2014
Externally publishedYes

    Research areas

  • Sociology - constructively defined latent variables, CT-CM model, CT-C(M-1) model

Recently viewed

Publications

  1. Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire
  2. Dynamic Performance Analysis and Fault Ride-Through Enhancement by a Modified Fault Current Protection Scheme of a Grid-Connected Doubly Fed Induction Generator
  3. Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring
  4. Set-oriented numerical computation of rotation sets
  5. Optimization Analysis for an Uncovered Wagon Transportation with an Interactive Animated Simulation-Based Platform for Multidisciplinary Learning
  6. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  7. The Use of Factorization and Multimode Parametric Spectra in Estimating Frequency and Spectral Parameters of Signal
  8. Enhancing the Building Information Modeling Lifecycle of Complex Structures with IoT
  9. The elicitation process in developing of case library for Case-Based Reasoner system whilst consideration for validating electronic communication technologies
  10. Integrating errors into the training process
  11. Accounting and Modeling as Design Metaphors for CEMIS
  12. A Quadrant Approach of Camera Calibration Method for Depth Estimation Using a Stereo Vision System
  13. What does it mean to be sensitive for the complexity of (problem oriented) teaching?
  14. Comparison of Odor Thresholds obtained by a Three Alternative Choice Procedure and by the Method of Limits
  15. Development and validation of a method for the determination of trace alkylphenols and phthalates in the atmosphere
  16. Return of Fibonacci random walks
  17. On finding nonisomorphic connected subgraphs and distinct molecular substructures.
  18. Gaussian processes for dispatching rule selection in production scheduling
  19. Improved sensorimotor control is not connected with improved proprioception
  20. An analytical approach to evaluating bivariate functions of fuzzy numbers with one local extremum
  21. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  22. Probabilistic approach to modelling of recession curves
  23. Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants
  24. Advances in Dynamics, Optimization and Computation
  25. Data-Driven flood detection using neural networks
  26. Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing
  27. Complex problem solving and intelligence
  28. XOperator - An extensible semantic agent for instant messaging networks
  29. Exploring Price Elasticity to Optimize Posted Prices in e-Commerce
  30. Introducing a multivariate model for predicting driving performance
  31. Situated multiplying in primary school