Generating Non-normal Data for Simulation of Structural Equation Models Using Mattson's Method

By W. Reinartz, Raj Echambadi, Wynne W. Chin. 2002

64 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/786d9ddafd389dc8b12d2ff722a6f0e53b0d830f

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In Computer Networks and Communications

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM (2009, methodology): “To the best of our knowledge, this research represents the first time Mattson’s approach has been applied in the context of a Monte Carlo simulation other than in the general analysis carried out by Reinartz et al. (2002).”
An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross Cultural Analysis of the Sourcing of Information System Services Between Germany and the USA (2010, methodology): “For non-normal data, the generalized Lambda distribution suggested by Ramberg et al. (1979) was used following the procedure described by Reinartz et al. (2002) .”
Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats (2013, methodology): “Consistent with prior studies (e.g., Henseler and Chin 2010; Reinartz et al. 2002), we evaluated parameter recovery using the mean absolute bias (MAB), which is the average of the simple absolute deviations between the true parameter and the parameter estimated by the segmentation method.”
A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study (2003, methodology): “Analogous to the formula provided by Reinartz et al. (2002), the average percentage bias for the t = 500 runs from the true population estimate Xpop of 0.”
A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling (2010, background): “The MRB is the mean over the deviations from the true value, and is algebraically defined as ( Reinartz, Echambadi, & Chin, 2002 , p.”