Item response theory for longitudinal data: population parameter estimation

被引：38
|
作者：
Andrade, DF
Tavares, HR
机构：
[1] Fed Univ Para, Dept Stat CCEN, BR-66075110 Belem, Para, Brazil
[2] Univ Fed Santa Catarina, Dept Informat & Stat, BR-88040900 Florianopolis, SC, Brazil
来源：
JOURNAL OF MULTIVARIATE ANALYSIS | 2005年 / 95卷 / 01期
基金：
巴西圣保罗研究基金会;
关键词：
longitudinal data; population parameters; logistic model; covariance structures; multivariate latent distribution;
D O I：
10.1016/j.jmva.2004.07.005
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
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. (c) 2004 Elsevier Inc. All rights reserved.
引用
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页码：1 / 22
页数：22
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