Assessing Item Fit Using Expected Score Curve Under Restricted Recalibration

Author:

Han Youngjin1ORCID,Yang Ji Seung1,Liu Yang1

Affiliation:

1. University of Maryland, College Park

Abstract

In item response theory applications, item fit analysis is often performed for precalibrated items using response data from subsequent test administrations. Because such practices lead to the involvement of sampling variability from two distinct samples that must be properly addressed for statistical inferences, conventional item fit analysis can be revisited and modified. This study extends the item fit analysis originally proposed by Haberman et al., which involves examining the discrepancy between the model-implied and empirical expected score curve. We analytically derive the standard errors that accurately account for the sampling variability from two samples within the framework of restricted recalibration. After derivation, we present the findings from a simulation study that evaluates the performance of our proposed method in terms of the empirical Type I error rate and power, for both dichotomous and polytomous items. An empirical example is also provided, in which we assess the item fit of pediatric short-form scale in the Patient-Reported Outcome Measurement Information System.

Funder

Institute of Education Sciences

Publisher

American Educational Research Association (AERA)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3