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Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models
30
Citations
30
References
2014
Year
Measurement TheoryEngineeringMeasurementMechanical EngineeringEducationStructural ProblemPsychometricsClassical Test TheorySimultaneous Equation ModelingStructural Equation ModelsStructural IntegrityApplied MeasurementFactor AnalysisBiostatisticsModeling And SimulationParameter Cross-loadingsMeasurement ComponentMonte Carlo 3StatisticsStructural Equation ModelingNear-zero Parameter Cross-loadingsStructural Health MonitoringMultilevel ModelingMarginal Structural ModelsCross-loading MisspecificationsMeasurement ModelsStructural AnalysisEconometricsStructural ModelingStructural MechanicsPsychological Measurement
The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.
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