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Morris, Scott B.; Bass, Michael; Howard, Elizabeth; Neapolitan, Richard E. – International Journal of Testing, 2020
The standard error (SE) stopping rule, which terminates a computer adaptive test (CAT) when the "SE" is less than a threshold, is effective when there are informative questions for all trait levels. However, in domains such as patient-reported outcomes, the items in a bank might all target one end of the trait continuum (e.g., negative…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Banks, Item Response Theory
Dhavala, Soma; Bhatia, Chirag; Bose, Joy; Faldu, Keyur; Avasthi, Aditi – International Educational Data Mining Society, 2020
A good diagnostic assessment is one that can (i) discriminate between students of different abilities for a given skill set, (ii) be consistent with ground truth data and (iii) achieve this with as few assessment questions as possible. In this paper, we explore a method to meet these objectives. This is achieved by selecting questions from a…
Descriptors: Automation, Diagnostic Tests, Test Construction, Test Items
LaFlair, Geoffrey T.; Langenfeld, Thomas; Baig, Basim; Horie, André Kenji; Attali, Yigal; von Davier, Alina A. – Journal of Computer Assisted Learning, 2022
Background: Digital-first assessments leverage the affordances of technology in all elements of the assessment process--from design and development to score reporting and evaluation to create test taker-centric assessments. Objectives: The goal of this paper is to describe the engineering, machine learning, and psychometric processes and…
Descriptors: Computer Assisted Testing, Affordances, Scoring, Engineering
Kang, Hyeon-Ah; Zheng, Yi; Chang, Hua-Hua – Journal of Educational and Behavioral Statistics, 2020
With the widespread use of computers in modern assessment, online calibration has become increasingly popular as a way of replenishing an item pool. The present study discusses online calibration strategies for a joint model of responses and response times. The study proposes likelihood inference methods for item paramter estimation and evaluates…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Reaction Time
Lee, Chansoon; Qian, Hong – Educational and Psychological Measurement, 2022
Using classical test theory and item response theory, this study applied sequential procedures to a real operational item pool in a variable-length computerized adaptive testing (CAT) to detect items whose security may be compromised. Moreover, this study proposed a hybrid threshold approach to improve the detection power of the sequential…
Descriptors: Computer Assisted Testing, Adaptive Testing, Licensing Examinations (Professions), Item Response Theory
Gönülates, Emre – Educational and Psychological Measurement, 2019
This article introduces the Quality of Item Pool (QIP) Index, a novel approach to quantifying the adequacy of an item pool of a computerized adaptive test for a given set of test specifications and examinee population. This index ranges from 0 to 1, with values close to 1 indicating the item pool presents optimum items to examinees throughout the…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Error of Measurement
Maxwell, Mary; Gleason, Jim – International Journal of Mathematical Education in Science and Technology, 2019
Many large universities, community colleges and some smaller four-year colleges are turning to hybrid or online instruction for remedial and entry level mathematics courses, often assessed using online exams in a proctored computer lab environment. Faculty face the task of choosing questions from a publisher's text bank with very little, if any,…
Descriptors: Item Response Theory, Test Reliability, Item Banks, Algebra
Hrnjicic, Anela; Alihodžic, Adis; Cunjalo, Fikret; Kamber Hamzic, Dina – European Journal of Science and Mathematics Education, 2022
It is known that students have many misconceptions about concepts related to function. By discovering misconceptions using an appropriate measurement instrument, we can determine what changes we need to make in the real functions curriculum to improve learning outcomes. Therefore, we designed an item bank for measuring conceptual understandings of…
Descriptors: Item Banks, Item Analysis, Test Items, College Freshmen
Shengyu Jiang – ProQuest LLC, 2020
An online learning system has the capacity to offer customized content that caters to individual learner's need and has seen growing interest from industry and academia alike in recent years. Noting the similarity between online learning and the more established adaptive testing procedures, research has focused on applying the techniques of…
Descriptors: Item Response Theory, Item Banks, Bayesian Statistics, Learning Management Systems
Kim, Seonghoon; Kolen, Michael J. – Applied Measurement in Education, 2019
In applications of item response theory (IRT), fixed parameter calibration (FPC) has been used to estimate the item parameters of a new test form on the existing ability scale of an item pool. The present paper presents an application of FPC to multiple examinee groups test data that are linked to the item pool via anchor items, and investigates…
Descriptors: Item Response Theory, Item Banks, Test Items, Computation
Strait, Julia Englund; Dawson, Peg; Walther, Christine A. P.; Strait, Gerald Gill; Barton, Amy K.; Brunson McClain, Maryellen – Contemporary School Psychology, 2020
Executive functioning (EF) skills are vital for academic success. Along with the recent explosion of interventions targeting these skills comes the need for affordable, efficient, and ecologically valid measures for planning and tailoring interventions and monitoring outcomes. The current study describes the refinement and initial psychometric…
Descriptors: Executive Function, Questionnaires, Rating Scales, Test Items
Khairani, Ahmad Zamri; Shamsuddin, Hasni – EURASIA Journal of Mathematics, Science and Technology Education, 2021
Rational Numbers is an essential topic in mathematics since it necessitates the learning progression of more advanced topics. Nevertheless, previous literature shows that students are having difficulties in understanding the topic for numerous reasons. The inability of teachers in providing good examples during teaching is identified as one of the…
Descriptors: Item Response Theory, Item Banks, Numbers, Mathematics Instruction
Kiron, Nafisul; Adaji, Ifeoma; Long, Jeff; Vassileva, Julita – Electronic Journal of e-Learning, 2020
Games are a great source of entertainment and are used by people of all ages; they motivate and engage people and affect their behavior. Therefore, games have been widely studied in many non-game contexts. Education is one of those areas where gamified, and game-based learning strategies have been implemented and explored. To engage and motivate…
Descriptors: Learner Engagement, Games, Peer Teaching, Active Learning
Friyatmi; Mardapi, Djemari; Haryanto; Rahmi, Elvi – European Journal of Educational Research, 2020
The advancement of information and technology resulted in the change in conventional test methods. The weaknesses of the paper-based test can be minimized using the computer-based test (CBT). The development of a CBT desperately needs a computerized item bank. This study aimed to develop a computerized item bank for classroom and school-based…
Descriptors: Computer Assisted Testing, Item Banks, High School Students, Foreign Countries
Lin, Chuan-Ju; Chang, Hua-Hua – Educational and Psychological Measurement, 2019
For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item selection criterion, namely, the standardized…
Descriptors: Test Items, Selection Criteria, Computer Assisted Testing, Adaptive Testing

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