DIFFERENTIAL ITEM FUNCTIONING CLASSIFICATION FOR POLYTOMOUSLY SCORED ITEMS

被引：5
|
作者：
Golia, Silvia [1 ]
机构：
[1] Univ Brescia, Dept Econ & Management, Brescia, Italy
来源：
ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS | 2012年 / 5卷 / 03期
关键词：
DIF effect size; polytomous items; Liu-Agresti estimate; Signed Area; Standardized Mean Difference; polytomous SIBTEST; ordinal logistic model;
D O I：
10.1285/i20705948v5n3p367
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：
Differential item functioning (DIF) refers to a difference in the way a test item functions for comparable groups of test takers. When there are DIF items in the test, it is necessary to make decisions concerning items revision or removal which cannot be based only on the outcome of DIF hypothesis testing statistic; a interpretable measure of the amount of DIF can help in decisions regarding DIF items. Due to the increasing use of polytomous item formats, this paper reviews the systems of DIF classification for polytomously scored items.
引用
收藏
页码：367 / 373
页数：7
相关论文
共 50 条
12345