Partitioning Dichotomous Items Using Mokken Scale Analysis, Exploratory Graph Analysis and Parallel Analysis: A Monte Carlo Simulation

Partitioning Dichotomous Items Using Mokken Scale Analysis, Exploratory Graph Analysis and Parallel Analysis: A Monte Carlo Simulation

Estimating the number of latent factors underlying a set of dichotomous items is a major challenge in social and behavioral research. Mokken scale analysis (MSA) and exploratory graph analysis (EGA) are approaches for partitioning measures consisting of dichotomous items. In this study we perform si...

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Bibliographic Details
Main Authors: Gomaa Said Mohamed Abdelhamid, María Dolores Hidalgo, Brian F. French, Juana Gómez-Benito
Format: Article
Language:English
Published: PsychOpen GOLD/ Leibniz Institute for Psychology 2024-09-01
Series:Methodology
Subjects:
exploratory graph analysis
mokken scale analysis
latent factors
community detection
dichotomous data
dimensionality
network psychometrics
parallel analysis
Online Access:https://doi.org/10.5964/meth.12503
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