Item response theory for longitudinal data: population parameter estimation

In this work we propose IRT models to estimate ability distribution parameters of a population of individuals submitted to different tests along the time, having or not common items. The item parameters are considered known and several covariance structures are proposed to accommodate the possible dependence among the abilities of the same individual, measured at different instants. Maximum likelihood equations and some simulation results are presented.

MoreLess

Year of publication:	2005
Authors:	Andrade, Dalton F. ; Tavares, Heliton R.
Published in:	Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 95.2005, 1, p. 1-22
Publisher:	Elsevier
Keywords:	Longitudinal data Population parameters Logistic model Covariance structures Multivariate latent distribution

More details

Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005160648