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Cheng, Yiling – Measurement: Interdisciplinary Research and Perspectives, 2023
Computerized adaptive testing (CAT) offers an efficient and highly accurate method for estimating examinees' abilities. In this article, the free version of Concerto Software for CAT was reviewed, dividing our evaluation into three sections: software implementation, the Item Response Theory (IRT) features of CAT, and user experience. Overall,…
Descriptors: Computer Software, Computer Assisted Testing, Adaptive Testing, Item Response Theory
Cui, Zhongmin – Measurement: Interdisciplinary Research and Perspectives, 2022
Although many educational and psychological tests are labeled as computerized adaptive test (CAT), not all tests show the same level of adaptivity -- some tests might not have much adaptation because of various constraints imposed by test developers. Researchers have proposed some indices to measure the amount of adaption for an adaptive test.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Measurement Techniques
Michael Bass; Scott Morris; Sheng Zhang – Measurement: Interdisciplinary Research and Perspectives, 2025
Administration of patient-reported outcome measures (PROs), using multidimensional computer adaptive tests (MCATs) has the potential to reduce patient burden, but the efficiency of MCAT depends on the degree to which an individual's responses fit the psychometric properties of the assessment. Assessing patients' symptom burden through the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Patients, Outcome Measures
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
Wyse, Adam E.; McBride, James R. – Measurement: Interdisciplinary Research and Perspectives, 2022
A common practical challenge is how to assign ability estimates to all incorrect and all correct response patterns when using item response theory (IRT) models and maximum likelihood estimation (MLE) since ability estimates for these types of responses equal -8 or +8. This article uses a simulation study and data from an operational K-12…
Descriptors: Scores, Adaptive Testing, Computer Assisted Testing, Test Length
Vinay Kumar Yadav; Shakti Prasad – Measurement: Interdisciplinary Research and Perspectives, 2024
In sample survey analysis, accurate population mean estimation is an important task, but traditional approaches frequently ignore the intricacies of real-world data, leading to biassed results. In order to handle uncertainties, indeterminacies, and ambiguity, this work presents an innovative approach based on neutrosophic statistics. We proposed…
Descriptors: Sampling, Statistical Bias, Predictor Variables, Predictive Measurement
Tülin Otbiçer Acar – Measurement: Interdisciplinary Research and Perspectives, 2024
The aim of this study is to compare the results of correlation coefficient estimation of reliability with those obtained through the Bland-Altman plot technique. The scale was first divided into two halves using three different approaches. A linear and high-level relationship was found between the scale scores obtained from the halved forms.…
Descriptors: High School Students, Measurement Techniques, Psychometrics, Comparative Testing
Mostafa M. Samy; Mohamed A. Metwally; Mahmoud Ashry; Wael M. Elmayyah – Measurement: Interdisciplinary Research and Perspectives, 2025
Gas Turbine Engines (GTE) have the highest power-to-weight ratio among Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel make it highly recommended in power plants, naval transportation, and, of course, the most equipped in aviation. The lack of GTEs' real data is increasing a recognized need for…
Descriptors: Engines, Power Technology, Data Collection, Data Interpretation
Saskia van Laar; Jianan Chen; Johan Braeken – Measurement: Interdisciplinary Research and Perspectives, 2024
Questionnaires in educational research assessing students' attitudes and beliefs are low-stakes for the students. As a consequence, students might not always consistently respond to a questionnaire scale but instead provide more random response patterns with no clear link to items' contents. We study inter-individual differences in students'…
Descriptors: Foreign Countries, Response Style (Tests), Grade 8, Secondary School Students
Cappaert, Kevin J.; Wen, Yao; Chang, Yu-Feng – Measurement: Interdisciplinary Research and Perspectives, 2018
Events such as curriculum changes or practice effects can lead to item parameter drift (IPD) in computer adaptive testing (CAT). The current investigation introduced a point- and weight-adjusted D[superscript 2] method for IPD detection for use in a CAT environment when items are suspected of drifting across test administrations. Type I error and…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Identification
Cai, Liuhan; Albano, Anthony D.; Roussos, Louis A. – Measurement: Interdisciplinary Research and Perspectives, 2021
Multistage testing (MST), an adaptive test delivery mode that involves algorithmic selection of predefined item modules rather than individual items, offers a practical alternative to linear and fully computerized adaptive testing. However, interactions across stages between item modules and examinee groups can lead to challenges in item…
Descriptors: Adaptive Testing, Test Items, Item Response Theory, Test Construction
Bao, Yu; Bradshaw, Laine – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs) can provide multidimensional diagnostic feedback about students' mastery levels of knowledge components or attributes. One advantage of using DCMs is the ability to accurately and reliably classify students into mastery levels with a relatively small number of items per attribute. Combining DCMs with…
Descriptors: Test Items, Selection, Adaptive Testing, Computer Assisted Testing
Schumacker, Randall E.; Wind, Stefanie A.; Holmes, Lauren F. – Measurement: Interdisciplinary Research and Perspectives, 2021
A variety of resources are available from which researchers can identify measurement instruments, including peer-reviewed journal articles, collections of technical information about published instruments, and electronic databases that are sponsored by universities, testing organizations, and other groups. Although these resources are widespread,…
Descriptors: Measurement Techniques, Journal Articles, Databases, Testing
Peabody, Michael R.; Wind, Stefanie A. – Measurement: Interdisciplinary Research and Perspectives, 2019
Differential Item Functioning (DIF) detection procedures provide validity evidence for proposed interpretations of test scores that can help researchers and practitioners ensure that test scores are free from potential bias, and that individual items do not create an advantage for any subgroup of examinees over another. In this study, we use the…
Descriptors: Item Response Theory, Test Items, Scores, Testing
Sahin, Alper; Hurtado Grooscors, Hector Armando; Góngora-Cortés, Jose Juan – Measurement: Interdisciplinary Research and Perspectives, 2018
Computerized adaptive tests (CATs) have received wider attention throughout the world in recent years mainly because they provide their users with higher precision in examinee ability estimation with less items by the help of the sound psychometric principals they are based on. The recent attention necessitates the need for platforms on which CATs…
Descriptors: Adaptive Testing, Computer Assisted Testing, Psychometrics, Feasibility Studies