A multitrait-multimethod model with minimal assumptions

By Michael Eid. 2000

344 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Food Science, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/4b5efd6f7a0f2f38a539425978c7dd44f77e7e74

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Citations in the corpus

The dimensionality of right-wing authoritarianism: lessons from the dilemma between theory and measurement (2005, background): “In addition it is advantageous to take the wording direction of the items into account (Eid, 2000; Marsh, 1989; Steyer & Eid, 2001).”
The Structure of Counterproductive Work Behavior (2016, methodology): “As a possible solution, Eid and colleagues (Eid, 2000; Eid et al., 2003; Eid, Nussbeck, Geiser, Cole, Gollwitzer, & Lischetzke, 2008) proposed a variant of the CT-CM model in which one method factor is defined as a standard procedure and therefore not explicitly modeled.”
(Why) Should We Use SEM? Pros and Cons of Structural Equation Modeling (2003, methodology): “Eid, 2000; Eid, Lischetzke, Nussbeck & Trierweiler,”
8. A New Approach to Evaluating the Quality of Measurement Instruments: The Split-Ballot MTMM Design (2004, background): “Eid (2000) discussed these problems again and suggested an alternative model with one factor fewer than usual.”
A CTC(M−1) Model for Different Types of Raters (2009, methodology): “Eid et al. (2008) have shown how an MTMM model for interchangeable and structurally different raters can be defined using multilevel factor analysis.”
Modelling method effects as individual causal effects (2007, methodology): “Although in the CT-C(M-1) model there is no correlation between trait and method factors allowed, the underestimation or overestimation may covary with the level of the trait factor (see Eid et al. (2007)). There are new developments, where method effects are not defined as residuals. A recent appro”
Attempted Validation of the Scores of the VARK: Learning Styles Inventory With Multitrait–Multimethod Confirmatory Factor Analysis Models (2010, methodology): “The method first presented by Eid (2000) could only be applied to situations with one indicator per trait–method combination.”
Design, Evaluation, and Analysis of Questionnaires for Survey Research (2007, background): “Some researchers allow for all possible correlations between the factors while mentioning estimation problems(5) (Marsh and bailey 1991; Kenny and Kashy 1992; Eid 2000).”
Using Bifactor Exploratory Structural Equation Modeling to Test for a Continuum Structure of Motivation (2018, background): “…meaningless, or construct irrelevant, sources of multidimensionality in a measure, such as models incorporating correlated method factors (Eid, 2000) or models incorporating a G-factor aiming to control for shared response tendencies in the estimation of meaningful correlated factors…”
Comparing questions with agree/ disagree response options to questions with item-specific response options (2010, methodology): “3 Eid (2000) suggests omitting one method factor but allows for correlations between the method factors left.”
Analyzing observed composite differences across groups: Is partial measurement invariance enough? (2013, background): “If the additional factor is specified (for instance, in a multigroup-multitrait-multimethod model; Eid, 2000; Kenny & Kashy, 1992), the cause of the difference in the observed means is addressed and explained by the latent mean difference of the additional factor.”