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Qunbar, Sa'ed Ali – ProQuest LLC, 2019
This work presents a study that used distributed language representations of test items to model test item difficulty. Distributed language representations are low-dimensional numeric representations of written language inspired and generated by artificial neural network architecture. The research begins with a discussion of the importance of item…
Descriptors: Computer Assisted Testing, Test Items, Difficulty Level, Models
Dünya, Beyza Aksu – ProQuest LLC, 2017
This study was conducted to analyze potential item parameter drift (IPD) impact on person ability estimates and classification accuracy when drift affects an examinee sub-group. Using a series of simulations, three factors were manipulated: (a) percentage of IPD items in the CAT exam, (b) percentage of examinees affected by IPD, and (c) item pool…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Correlation
Yang, Lihong – ProQuest LLC, 2016
In recent years, the multistage adaptive test (MST) has gained increasing popularity in the field of educational measurement and operational testing. MST refers to a test in which pre-constructed sets of items are administered adaptively and are scored as a unit (Hendrickson, 2007). As a special case of Computerized Adaptive Testing (CAT), a MST…
Descriptors: Item Banks, Computer Assisted Testing, Adaptive Testing, Test Construction
Dallas, Andrew – ProQuest LLC, 2014
This dissertation examined the overall effects of routing and scoring within a computer adaptive multi-stage framework (ca-MST). Testing in a ca-MST environment has become extremely popular in the testing industry. Testing companies enjoy its efficiency benefits as compared to traditionally linear testing and its quality-control features over…
Descriptors: Scoring, Computer Assisted Testing, Adaptive Testing, Item Response Theory
Zhou, Xuechun – ProQuest LLC, 2012
Current CAT applications consist of predominantly dichotomous items, and CATs with polytomously scored items are limited. To ascertain the best approach to polytomous CAT, a significant amount of research has been conducted on item selection, ability estimation, and impact of termination rules based on polytomous IRT models. Few studies…
Descriptors: Item Banks, Computer Assisted Testing, Adaptive Testing, Test Items
Wang, Xinrui – ProQuest LLC, 2013
The computer-adaptive multistage testing (ca-MST) has been developed as an alternative to computerized adaptive testing (CAT), and been increasingly adopted in large-scale assessments. Current research and practice only focus on ca-MST panels for credentialing purposes. The ca-MST test mode, therefore, is designed to gauge a single scale. The…
Descriptors: Computer Assisted Testing, Adaptive Testing, Diagnostic Tests, Comparative Analysis
Gullo, Shirna R. – ProQuest LLC, 2014
Computerized testing may be one solution to enhance performance on the curricular Health Education Systems Inc. (HESI) exam and the National Council Licensure Exam for Registered Nurses (NCLEX-RN). Due to the integration of improved technological processes and procedures in healthcare for computerized documentation and electronicmedical records,…
Descriptors: Nursing Students, Associate Degrees, Computer Assisted Testing, Comparative Analysis
He, Wei – ProQuest LLC, 2010
Item pool quality has been regarded as one important factor to help realize enhanced measurement quality for the computerized adaptive test (CAT) (e.g., Flaugher, 2000; Jensema, 1977; McBride & Wise, 1976; Reckase, 1976; 2003; van der Linden, Ariel, & Veldkamp, 2006; Veldkamp & van der Linden, 2000; Xing & Hambleton, 2004). However, studies are…
Descriptors: Test Items, Computer Assisted Testing, Item Analysis, Test Construction