Examining Parameter Invariance in a General Diagnostic Classification Model

Examining Parameter Invariance in a General Diagnostic Classification Model

The present study aimed at investigating invariance of a diagnostic classification model (DCM) for reading comprehension across gender. In contrast to models with continuous traits, diagnostic classification models inform mastery of a finite set of latent attributes, e.g., vocabulary or syntax in th...

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Bibliographic Details
Main Authors: Hamdollah Ravand, Purya Baghaei, Philip Doebler
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Psychology
Subjects:
parameter invariance
diagnostic classification models
G-DINA
item response
attribute
reading comprehension
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2019.02930/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyg.2019.02930/full

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