Browsing Scientific articles by Journals "Structural Equation Modeling"
Now showing items 1-9 of 9
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Examining the Performance of the Modified ADF Goodness-of-fit Test Statistic in Structural Equation Models
(Journal article; Peer reviewed, 2019)The asymptotically distribution-free (ADF) test statistic depends on very mild distributional assumptions and is theoretically superior to many other so-called robust tests available in structural equation modeling. The ... -
A faster procedure for estimating CFA models applying Minimum Distance Estimators
(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 ... -
A Faster Procedure for Estimating SEMs Applying Minimum Distance Estimators With a Fixed Weight Matrix
(Peer reviewed; Journal article, 2022)This study presents a separable nonlinear least squares (SNLLS) implementation of the minimum distance (MD) estimator employing a fixed-weight matrix for estimating structural equation models (SEMs). In contrast to the ... -
Non-normal Data Simulation using Piecewise Linear Transforms
(Peer reviewed; Journal article, 2021)We present PLSIM, a new method for generating nonnormal data with a pre-specified covariance matrix that is based on coordinate-wise piecewise linear transformations of standard normal variables. In our presentation, the ... -
Pernicious Polychorics: The Impact and Detection of Underlying Non-normality
(Journal article; Peer reviewed, 2019)Ordinal data in social science statistics are often modeled as discretizations of a multivariate normal vector. In contrast to the continuous case, where SEM estimation is also consistent under non-normality, violation of ... -
Specification Search in Structural Equation Modeling (SEM): How Gradient Component-wise Boosting can Contribute
(Peer reviewed; Journal article, 2021)Although structural equation model (SEM) is a powerful and widely applied tool particularly in social sciences, few studies have explored how SEM and statistical learning methods can be combined. The purpose of this paper ... -
Testing Model Fit by Bootstrap Selection
(Journal article; Peer reviewed, 2018)Over the last few decades, many robust statistics have been proposed in order to assess the fit of structural equation models. To date, however, no clear recommendations have emerged as to which test statistic performs ... -
The asymptotic covariance matrix and its use in simulation studies
(Journal article; Peer reviewed, 2017)The asymptotic performance of structural equation modeling tests and standard errors are influenced by two factors: the model and the asymptotic covariance matrix Γ of the sample covariances. Although most simulation studies ... -
The choice of normal-theory weight matrix when computing robust standard errors in confirmatory factor analysis
(Journal article; Peer reviewed, 2019)Robust standard errors are of central importance in confirmatory factor models. In calculating these statistics a central ingredient is the inverse of the asymptotic covariance matrix of second-order moments calculated ...