Evaluating an Automated Number Series Item Generator Using Linear Logistic Test Models

Evaluating an Automated Number Series Item Generator Using Linear Logistic Test Models

This study investigates the item properties of a newly developed Automatic Number Series Item Generator (ANSIG). The foundation of the ANSIG is based on five hypothesised cognitive operators. Thirteen item models were developed using the numGen R package and eleven were evaluated in this study. The...

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Bibliographic Details
Main Authors:	Bao Sheng Loe, Luning Sun, Filip Simonfy, Philipp Doebler
Format:	Article
Language:	English
Published:	MDPI AG 2018-04-01
Series:	Journal of Intelligence
Subjects:	cognitive models automatic item generation number series Rasch model Linear Logistic Test Models
Online Access:	http://www.mdpi.com/2079-3200/6/2/20

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