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Harold Doran; Testsuhiro Yamada; Ted Diaz; Emre Gonulates; Vanessa Culver – Journal of Educational Measurement, 2025
Computer adaptive testing (CAT) is an increasingly common mode of test administration offering improved test security, better measurement precision, and the potential for shorter testing experiences. This article presents a new item selection algorithm based on a generalized objective function to support multiple types of testing conditions and…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Algorithms
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Xuelan Qiu; Jimmy de la Torre; You-Gan Wang; Jinran Wu – Educational Measurement: Issues and Practice, 2024
Multidimensional forced-choice (MFC) items have been found to be useful to reduce response biases in personality assessments. However, conventional scoring methods for the MFC items result in ipsative data, hindering the wider applications of the MFC format. In the last decade, a number of item response theory (IRT) models have been developed,…
Descriptors: Item Response Theory, Personality Traits, Personality Measures, Personality Assessment
W. James Popham – Pearson, 2024
"Classroom Assessment" shows pre- and in-service teachers how to use classroom testing accurately and formatively to dramatically increase their teaching effectiveness and promote student learning. In addition to clear and concise guidelines on how to develop and use quality classroom assessments, the author also focuses on the teaching…
Descriptors: Student Evaluation, Testing, Teacher Effectiveness, Test Construction
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Jyun-Hong Chen; Hsiu-Yi Chao – Journal of Educational and Behavioral Statistics, 2024
To solve the attenuation paradox in computerized adaptive testing (CAT), this study proposes an item selection method, the integer programming approach based on real-time test data (IPRD), to improve test efficiency. The IPRD method turns information regarding the ability distribution of the population from real-time test data into feasible test…
Descriptors: Data Use, Computer Assisted Testing, Adaptive Testing, Design
Jing Ma – ProQuest LLC, 2024
This study investigated the impact of scoring polytomous items later on measurement precision, classification accuracy, and test security in mixed-format adaptive testing. Utilizing the shadow test approach, a simulation study was conducted across various test designs, lengths, number and location of polytomous item. Results showed that while…
Descriptors: Scoring, Adaptive Testing, Test Items, Classification
Jeff Allen; Jay Thomas; Stacy Dreyer; Scott Johanningmeier; Dana Murano; Ty Cruce; Xin Li; Edgar Sanchez – ACT Education Corp., 2025
This report describes the process of developing and validating the enhanced ACT. The report describes the changes made to the test content and the processes by which these design decisions were implemented. The authors describe how they shared the overall scope of the enhancements, including the initial blueprints, with external expert panels,…
Descriptors: College Entrance Examinations, Testing, Change, Test Construction
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Daniel M. Settlage; Jim R. Wollscheid – Journal of the Scholarship of Teaching and Learning, 2024
The examination of the testing mode effect has received increased attention as higher education has shifted to remote testing during the COVID-19 pandemic. We believe the testing mode effect consists of four components: the ability to physically write on the test, the method of answer recording, the proctoring/testing environment, and the effect…
Descriptors: College Students, Macroeconomics, Tests, Answer Sheets
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Jila Niknejad; Margaret Bayer – International Journal of Mathematical Education in Science and Technology, 2025
In Spring 2020, the need for redesigning online assessments to preserve integrity became a priority to many educators. Many of us found methods to proctor examinations using Zoom and proctoring software. Such examinations pose their own issues. To reduce the technical difficulties and cost, many Zoom proctored examination sessions were shortened;…
Descriptors: Mathematics Instruction, Mathematics Tests, Computer Assisted Testing, Computer Software
W. Christopher Brandt; Nathan Dadey; Carla Evans – National Center for the Improvement of Educational Assessment, 2024
Recent years have produced a surge in interest in improving state assessment programs. Many states are designing new assessments. Much of this innovation is aimed at addressing longstanding areas of unhappiness with typical domain-sampled, end-of-year state assessments: States want to streamline assessment activities, enhance the instructional…
Descriptors: Standardized Tests, Achievement Tests, Educational Testing, State Standards
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Yan Jin; Jason Fan – Language Assessment Quarterly, 2023
In language assessment, AI technology has been incorporated in task design, assessment delivery, automated scoring of performance-based tasks, score reporting, and provision of feedback. AI technology is also used for collecting and analyzing performance data in language assessment validation. Research has been conducted to investigate the…
Descriptors: Language Tests, Artificial Intelligence, Computer Assisted Testing, Test Format
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Yigiter, Mahmut Sami; Dogan, Nuri – Measurement: Interdisciplinary Research and Perspectives, 2023
In recent years, Computerized Multistage Testing (MST), with their versatile benefits, have found themselves a wide application in large scale assessments and have increased their popularity. The fact that forms can be made ready before the exam application, such as a linear test, and that they can be adapted according to the test taker's ability…
Descriptors: Programming Languages, Monte Carlo Methods, Computer Assisted Testing, Test Format
Hacer Karamese – ProQuest LLC, 2022
Multistage adaptive testing (MST) has become popular in the testing industry because the research has shown that it combines the advantages of both linear tests and item-level computer adaptive testing (CAT). The previous research efforts primarily focused on MST design issues such as panel design, module length, test length, distribution of test…
Descriptors: Adaptive Testing, Scoring, Computer Assisted Testing, Design
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Tobias Haug; Franz Holzknecht; Wolfgang Mann – Language Education & Assessment, 2024
This study investigated through an online survey how sign language practitioners changed their sign language assessment practices during the COVID-19 pandemic. The survey consisted of five sections and 29 questions overall. It was provided in written English and German as well as in International Sign and was administered online between October…
Descriptors: Sign Language, COVID-19, Pandemics, Evaluation
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Barrett, Michelle D.; Jiang, Bingnan; Feagler, Bridget E. – International Journal of Artificial Intelligence in Education, 2022
The appeal of a shorter testing time makes a computer adaptive testing approach highly desirable for use in multiple assessment and learning contexts. However, for those who have been tasked with designing, configuring, and deploying adaptive tests for operational use at scale, preparing an adaptive test is anything but simple. The process often…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Design Requirements
Timothy Donald Folger – ProQuest LLC, 2024
This dissertation aims to bridge the gap between validity theory and the practice of validation. The dissertation employs a three-article approach. Following the introduction in Chapter I, three independent manuscripts representing three empirical studies are presented (i.e., Chapters II - IV). Each chapter is a stand-alone publishable manuscript,…
Descriptors: Educational Testing, Psychological Testing, Test Validity, Delphi Technique
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