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Sahin Kursad, Merve; Cokluk Bokeoglu, Omay; Cikrikci, Rahime Nukhet – International Journal of Assessment Tools in Education, 2022
Item parameter drift (IPD) is the systematic differentiation of parameter values of items over time due to various reasons. If it occurs in computer adaptive tests (CAT), it causes errors in the estimation of item and ability parameters. Identification of the underlying conditions of this situation in CAT is important for estimating item and…
Descriptors: Item Analysis, Computer Assisted Testing, Test Items, Error of Measurement
Fuchimoto, Kazuma; Ishii, Takatoshi; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2022
Educational assessments often require uniform test forms, for which each test form has equivalent measurement accuracy but with a different set of items. For uniform test assembly, an important issue is the increase of the number of assembled uniform tests. Although many automatic uniform test assembly methods exist, the maximum clique algorithm…
Descriptors: Simulation, Efficiency, Test Items, Educational Assessment
Kárász, Judit T.; Széll, Krisztián; Takács, Szabolcs – Quality Assurance in Education: An International Perspective, 2023
Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…
Descriptors: Test Length, Probability, Comparative Analysis, Difficulty Level
Ozdemir, Burhanettin; Gelbal, Selahattin – Education and Information Technologies, 2022
The computerized adaptive tests (CAT) apply an adaptive process in which the items are tailored to individuals' ability scores. The multidimensional CAT (MCAT) designs differ in terms of different item selection, ability estimation, and termination methods being used. This study aims at investigating the performance of the MCAT designs used to…
Descriptors: Scores, Computer Assisted Testing, Test Items, Language Proficiency
Luo, Xiao; Kim, Doyoung – Journal of Educational Measurement, 2018
The top-down approach to designing a multistage test is relatively understudied in the literature and underused in research and practice. This study introduced a route-based top-down design approach that directly sets design parameters at the test level and utilizes the advanced automated test assembly algorithm seeking global optimality. The…
Descriptors: Computer Assisted Testing, Test Construction, Decision Making, Simulation
Feuerstahler, Leah M.; Waller, Niels; MacDonald, Angus, III – Educational and Psychological Measurement, 2020
Although item response models have grown in popularity in many areas of educational and psychological assessment, there are relatively few applications of these models in experimental psychopathology. In this article, we explore the use of item response models in the context of a computerized cognitive task designed to assess visual working memory…
Descriptors: Item Response Theory, Psychopathology, Intelligence Tests, Psychological Evaluation
Cikrikci, Nukhet; Yalcin, Seher; Kalender, Ilker; Gul, Emrah; Ayan, Cansu; Uyumaz, Gizem; Sahin-Kursad, Merve; Kamis, Omer – International Journal of Assessment Tools in Education, 2020
This study tested the applicability of the theoretical Examination for Candidates of Driving License (ECODL) in Turkey as a computerized adaptive test (CAT). Firstly, various simulation conditions were tested for the live CAT through an item response theory-based calibrated item bank. The application of the simulated CAT was based on data from…
Descriptors: Motor Vehicles, Traffic Safety, Computer Assisted Testing, Item Response Theory
Quaid, Ethan; Barrett, Alex – Language Education & Assessment, 2021
Research examining test taker fluency in simulated and face-to-face oral proficiency interview performances has primarily focused on quantitative spoken utterance fluency data alone, with further qualitative investigation of test taker processing fluency's effect being neglected. This study compared four test takers' spoken utterance and…
Descriptors: Speech Communication, Oral Language, Language Proficiency, Comparative Analysis
Wang, Keyin – ProQuest LLC, 2017
The comparison of item-level computerized adaptive testing (CAT) and multistage adaptive testing (MST) has been researched extensively (e.g., Kim & Plake, 1993; Luecht et al., 1996; Patsula, 1999; Jodoin, 2003; Hambleton & Xing, 2006; Keng, 2008; Zheng, 2012). Various CAT and MST designs have been investigated and compared under the same…
Descriptors: Comparative Analysis, Computer Assisted Testing, Adaptive Testing, Test Items
Ozturk, Nagihan Boztunc; Dogan, Nuri – Educational Sciences: Theory and Practice, 2015
This study aims to investigate the effects of item exposure control methods on measurement precision and on test security under various item selection methods and item pool characteristics. In this study, the Randomesque (with item group sizes of 5 and 10), Sympson-Hetter, and Fade-Away methods were used as item exposure control methods. Moreover,…
Descriptors: Computer Assisted Testing, Item Analysis, Statistical Analysis, Comparative Analysis
Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2016
Meijer and van Krimpen-Stoop noted that the number of person-fit statistics (PFSs) that have been designed for computerized adaptive tests (CATs) is relatively modest. This article partially addresses that concern by suggesting three new PFSs for CATs. The statistics are based on tests for a change point and can be used to detect an abrupt change…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Goodness of Fit
Moothedath, Shana; Chaporkar, Prasanna; Belur, Madhu N. – Perspectives in Education, 2016
In recent years, the computerised adaptive test (CAT) has gained popularity over conventional exams in evaluating student capabilities with desired accuracy. However, the key limitation of CAT is that it requires a large pool of pre-calibrated questions. In the absence of such a pre-calibrated question bank, offline exams with uncalibrated…
Descriptors: Guessing (Tests), Computer Assisted Testing, Adaptive Testing, Maximum Likelihood Statistics
Hula, William D.; Kellough, Stacey; Fergadiotis, Gerasimos – Journal of Speech, Language, and Hearing Research, 2015
Purpose: The purpose of this study was to develop a computerized adaptive test (CAT) version of the Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996), to reduce test length while maximizing measurement precision. This article is a direct extension of a companion article (Fergadiotis, Kellough, & Hula, 2015),…
Descriptors: Computer Assisted Testing, Adaptive Testing, Naming, Test Construction
Sinharay, Sandip; Wan, Ping; Choi, Seung W.; Kim, Dong-In – Journal of Educational Measurement, 2015
With an increase in the number of online tests, the number of interruptions during testing due to unexpected technical issues seems to be on the rise. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. Researchers such as…
Descriptors: Computer Assisted Testing, Testing Problems, Scores, Statistical Analysis
Fomenko, Julie Ann Schwein – ProQuest LLC, 2017
Twenty-first-century healthcare is a complex and demanding arena. Today's hospital environment is more complex than in previous years while patients move through the system at a much faster pace. Newly graduated nurses are challenged in their first year with the healthcare needs of complex patients. Nurse educators and nurse leaders differ in…
Descriptors: Simulation, Nurses, Nursing Education, Competence