A Framework for Anchor Methods and an Iterative Forward Approach for DIF Detection [0.03%]
一项用于DIF检测的锚方法框架及迭代前向方法
Julia Kopf,Achim Zeileis,Carolin Strobl
Julia Kopf
In differential item functioning (DIF) analysis, a common metric is necessary to compare item parameters between groups of test-takers. In the Rasch model, the same restriction is placed on the item parameters in each group to define a comm...
A Family of Generalized Diagnostic Classification Models for Multiple Choice Option-Based Scoring [0.03%]
一类基于选项的多选分数的诊断分类模型族
Louis V DiBello,Robert A Henson,William F Stout
Louis V DiBello
This article proposes a new family of diagnostic classification models (DCM) called the Generalized Diagnostic Classification Models for Multiple Choice Option-Based Scoring (GDCM-MC). The GDCM-MC is created for multiple choice assessments ...
Tao Xin,Jiahui Zhang
Tao Xin
A local equating method of cognitively diagnostic modeled observed score was introduced to address the problem of equating without anchor test as well as the satisfaction of equating criteria. The criterion of test construct was redefined o...
Efficient Models for Cognitive Diagnosis With Continuous and Mixed-Type Latent Variables [0.03%]
具有连续和混合类型潜在变量的认知诊断的有效模型
Hyokyoung Hong,Chun Wang,Youn Seon Lim et al.
Hyokyoung Hong et al.
The issue of latent trait granularity in diagnostic models is considered, comparing and contrasting latent trait and latent class models used for diagnosis. Relationships between conjunctive cognitive diagnosis models (CDMs) with binary att...
The Multicomponent Latent Trait Model for Diagnosis: Applications to Heterogeneous Test Domains [0.03%]
异质测试领域的多分量潜在特质模型在诊断中的应用
Susan E Embretson
Susan E Embretson
Heterogeneous item content is prevalent on psychological and educational tests that measure global traits or competencies, such as general intelligence and achievement tests. In such tests, the domain is broadly defined, so as to include ma...
Jingchen Liu,Zhiliang Ying
Jingchen Liu
A Comparison of Content-Balancing Procedures for Estimating Multiple Clinical Domains in Computerized Adaptive Testing: Relative Precision, Validity, and Detection of Persons With Misfitting Responses [0.03%]
计算机自适应测试中估计多个临床领域的内容平衡程序的比较：相对精度，有效性以及检测响应不匹配个体的能力
Barth B Riley,Michael L Dennis,Kendon J Conrad
Barth B Riley
This simulation study sought to compare four different computerized adaptive testing (CAT) content balancing procedures designed for use in a multidimensional assessment with respect to measurement precision, symptom severity classification...