Blar i Handelshøyskolen BI på forfatter "Marcoulides, Katerina"
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covsim: An R Package for Simulating Non-normal Data for Structural Equation Models Using Copulas
Grønneberg, Steffen; Foldnes, Njål; Marcoulides, Katerina (Journal article; Peer reviewed, 2022)In factor analysis and structural equation modeling non-normal data simulation is traditionally performed by specifying univariate skewness and kurtosis together with the target covariance matrix. However, this leaves ... -
A faster procedure for estimating CFA models applying Minimum Distance Estimators
Kreiberg, David; Marcoulides, Katerina; Olsson, Ulf H. (Journal article; Peer reviewed, 2020)This paper presents a numerically more efficient implementation of the quadratic form minimum distance (MD) estimator with a fixed weight matrix for confirmatory factor analysis (CFA) models. In structural equation modeling ...