A problem with discretizing Vale-Maurelli in simulation studies

DOI10.1007/s11336-019-09663-8zbMath1431.62535OpenAlexW2920537424WikidataQ92153172 ScholiaQ92153172MaRDI QIDQ2331181

Njål Foldnes, Steffen Grønneberg

Publication date: 25 October 2019

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-019-09663-8

zbMATH Keywords

non-normal dataordinal datastructural equation modelingVale-Maurellipolychoric correlation

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Measures of association (correlation, canonical correlation, etc.) (62H20) Applications of statistics to psychology (62P15)

Related Items (3)

On identification and non-normal simulation in ordinal covariance and item response models ⋮ Theoretical considerations when simulating data from the g‐and‐h family of distributions ⋮ Goodman and Kruskal's gamma coefficient for ordinalized bivariate normal distributions

Uses Software

• R
• lavaan

Cites Work

• How general is the Vale-Maurelli simulation approach?
• Simulating multivariate nonnormal distributions
• Maximum likelihood estimation of the polychoric correlation coefficient
• Limited information estimation and testing of discretized multivariate normal structural models
• Latent Curve Models
• A Monte Carlo study comparing PIV, ULS and DWLS in the estimation of dichotomous confirmatory factor analysis

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