Blar i Scientific articles på tidsskrift "Psychometrika"
Viser treff 1-7 av 7
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A PROBLEM WITH DISCRETIZING VALE–MAURELLI IN SIMULATION STUDIES
(Journal article; Peer reviewed, 2019)Previous influential simulation studies investigate the effect of underlying non-normality in ordinal data using the Vale–Maurelli (VM) simulation method. We show that discretized data stemming from the VM method with a ... -
Covariance Model Simulation Using Regular Vines
(Journal article; Peer reviewed, 2017)We propose a new and flexible simulation method for non-normal data with user-specified marginal distributions, covariance matrix and certain bivariate dependencies. The VITA (VIne To Anything) method is based on regular ... -
The dependence of chance-corrected weighted agreement coefficients on the power parameter of the weighting scheme: Analysis and measurement
(Peer reviewed; Journal article, 2022)We consider the dependence of a broad class of chance-corrected weighted agreement coefficients on the weighting scheme that penalizes rater disagreements. The considered class encompasses many existing coefficients with ... -
How general is the Vale-Maurelli simulation approach?
(Journal article; Peer reviewed, 2015)The Vale-Maurelli (VM) approach to generating non-normal mul- tivariate data involves the use of Fleishman polynomials applied to an underly- ing Gaussian random vector. This method has been extensively used in Monte Carlo ... -
On Identification and Non-normal Simulation in Ordinal Covariance and Item Response Models
(Journal article; Peer reviewed, 2019)A standard approach for handling ordinal data in covariance analysis such as structural equation modeling is to assume that the data were produced by discretizing a multivariate normal vector. Recently, concern has been ... -
Partial identification of latent correlations with binary data
(Journal article; Peer reviewed, 2020)The tetrachoric correlation is a popular measure of association for binary data and estimates the correlation of an underlying normal latent vector. However, when the underlying vector is not normal, the tetrachoric ... -
Partial Identification of Latent Correlations with Ordinal Data
(Others, 2023)The polychoric correlation is a popular measure of association for ordinal data. It estimates a latent correlation, i.e., the correlation of a latent vector. This vector is assumed to be bivariate normal, an assumption ...