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

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

Data-Generating Mechanisms Versus Constructively Defined Latent Variables in Multitrait–Multimethod Analysis: A Comment on Castro-Schilo, Widaman, and Grimm (2013). / Geiser, Christian; Koch, Tobias; Eid, Michael.
in: Structural Equation Modeling: A Multidisciplinary Journal, Jahrgang 21, Nr. 4, 02.10.2014, S. 509-523.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

APA

Vancouver

Bibtex

@article{181febb02ff6473c80180a983f7ec16c,
title = "Data-Generating Mechanisms Versus Constructively Defined Latent Variables in Multitrait–Multimethod Analysis:: A Comment on Castro-Schilo, Widaman, and Grimm (2013)",
abstract = "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.",
keywords = "Sociology, constructively defined latent variables, CT-CM model, CT-C(M-1) model",
author = "Christian Geiser and Tobias Koch and Michael Eid",
year = "2014",
month = oct,
day = "2",
doi = "10.1080/10705511.2014.919816",
language = "English",
volume = "21",
pages = "509--523",
journal = "Structural Equation Modeling: A Multidisciplinary Journal",
issn = "1532-8007",
publisher = "Psychology Press Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Data-Generating Mechanisms Versus Constructively Defined Latent Variables in Multitrait–Multimethod Analysis:

T2 - A Comment on Castro-Schilo, Widaman, and Grimm (2013)

AU - Geiser, Christian

AU - Koch, Tobias

AU - Eid, Michael

PY - 2014/10/2

Y1 - 2014/10/2

N2 - 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.

AB - 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.

KW - Sociology

KW - constructively defined latent variables

KW - CT-CM model

KW - CT-C(M-1) model

UR - http://www.scopus.com/inward/record.url?scp=84927564218&partnerID=8YFLogxK

U2 - 10.1080/10705511.2014.919816

DO - 10.1080/10705511.2014.919816

M3 - Journal articles

C2 - 25419098

VL - 21

SP - 509

EP - 523

JO - Structural Equation Modeling: A Multidisciplinary Journal

JF - Structural Equation Modeling: A Multidisciplinary Journal

SN - 1532-8007

IS - 4

ER -

DOI

Zuletzt angesehen

Publikationen

  1. Pitfalls and potential of institutional change: Rain-index insurance and the sustainability of rangeland management
  2. Die individuell präferierte bezugsnormorientierung und das selbstkonzept von grundschulkindern im fach mathematik
  3. Light availability and land-use history drive biodiversity and functional changes in forest herb layer communities
  4. Simulationsbasierte Bewertung von intralogistischen Prozessen am Beispiel der Warenbereitstellung im Einzelhandel
  5. Potential supply and actual use of cultural ecosystem services in mountain protected areas and their surroundings
  6. The measurement time required for determining total NH3 losses after field application of slurries by trail hoses
  7. Effect of Sn additions on the age hardening response, microstructures and corrosion resistance of Mg-0.8Ca (wt%) alloys
  8. Cascade thermochemical storage with internal condensation heat recovery for better energy and exergy efficiencies
  9. A sensorless control using a sliding-mode observer for an electromagnetic valve actuator in automotive applications
  10. A general structural property in wavelet packets for detecting oscillation and noise components in signal analysis
  11. Privacy-Preserving Localization and Social Distance Monitoring with Low-Resolution Thermal Imaging and Deep Learning
  12. Einfluss elterlicher Mathematikkompetenz und familialer Prozesse auf den Kompetenzerwerb von Kindern in Mathematik
  13. Chronic effects of a static stretching intervention program on range of motion and tissue hardness in older adults
  14. A Theoretical Dynamical Noninteracting Model for General Manipulation Systems Using Axiomatic Geometric Structures
  15. A geometric approach for the design and control of an electromagnetic actuator to optimize its dynamic performance
  16. The Use of Factorization and Multimode Parametric Spectra in Estimating Frequency and Spectral Parameters of Signal
  17. A Robust Decoupling Estimator to Indentify Electrical Parameters for Three-Phase Permanent Magnet Synchronous Motors
  18. Input-Output Linearization of a Thermoelectric Cooler for an Ice Clamping System Using a Dual Extended Kalman Filter
  19. Plant species diversity and endemism on islands and archipelagos, with special reference to the Macaronesian Islands
  20. Mechanical properties and microstructures of nano SiC reinforced ZE10 composites prepared with ultrasonic vibration
  21. Methodologies for Noise and Gross Error Detection using Univariate Signal-Based Approaches in Industrial Application
  22. A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control
  23. An empirically tested overlap between indigenous and scientific knowledge of a changing climate in Bolivian Amazonia
  24. Grünlandschutz in benachteiligen Mittelgebirgsregionen durch ein Bio-Weiderindkonzept am Beispiel des Südschwarzwalds
  25. Forestry contributed to warming of forest ecosystems in northern Germany during the extreme summers of 2018 and 2019
  26. A Model Based Feedforward Regulator Improving PI Control of an Ice-Clamping Device Activated by Thermoelectric Cooler
  27. Effects of preschoolers' storybook exposure and literacy environments on lower level and higher level language skills
  28. Investigation On The Influence Of Remanufacturing On Production Planning And Control – A Systematic Literature Review
  29. Das Eiablageverhalten des Großen Feuerfalters (Lycaena dispar rutilus) in der Kulturlandschaft Siebenbürgens, Rumänien
  30. Model predictive control of transistor pulse converter for feeding electromagnetic valve actuator with energy storage
  31. Ethnisierung von Geschlecht und die diskursive Reproduktion von Differenz in der Fernsehdokumentation "Fremde Nachbarn"
  32. Experimental investigation of temperature distribution during wire-based laser metal deposition of the Al-Mg alloy 5087
  33. The efficacy of Cognitive-Behavioral Therapy and Psychodynamic Therapy in the outpatient treatment of major depression
  34. Patterns and hotspots of carabid beetle diversity in the Palaearctic – insights from a hyperdiverse invertebrate taxon
  35. Comparing data scaling based recursive least squares algorithms with Kalman Filter for nano parameters identification
  36. Verstehensprozesse bei der Bearbeitung realitätsbezogener Mathematikaufgaben: Klassische Textaufgaben vs. Zeitungstexte