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Stefanie A. Wind; Beyza Aksu-Dunya – Applied Measurement in Education, 2024
Careless responding is a pervasive concern in research using affective surveys. Although researchers have considered various methods for identifying careless responses, studies are limited that consider the utility of these methods in the context of computer adaptive testing (CAT) for affective scales. Using a simulation study informed by recent…
Descriptors: Response Style (Tests), Computer Assisted Testing, Adaptive Testing, Affective Measures
van Sluis, Klaske E.; Passchier, Ellen; van Son, Rob J. J. H.; van der Molen, Lisette; Stuiver, Martijn; van den Brekel, Michiel W. M.; Van den Steen, Leen; Kalf, Johanna G.; van Nuffelen, Gwen – International Journal of Language & Communication Disorders, 2023
Background: Several conditions and diseases can result in speech problems that can have a negative impact on everyday functioning, referred to as communicative participation. Subjective problems with acquired speech problems are often assessed with the speech handicap index (SHI). To assess generic participation problems, the Utrecht Scale for…
Descriptors: Indo European Languages, Translation, Test Construction, Test Validity
Kreitchmann, Rodrigo S.; Sorrel, Miguel A.; Abad, Francisco J. – Educational and Psychological Measurement, 2023
Multidimensional forced-choice (FC) questionnaires have been consistently found to reduce the effects of socially desirable responding and faking in noncognitive assessments. Although FC has been considered problematic for providing ipsative scores under the classical test theory, item response theory (IRT) models enable the estimation of…
Descriptors: Measurement Techniques, Questionnaires, Social Desirability, Adaptive Testing
Xu, Lingling; Wang, Shiyu; Cai, Yan; Tu, Dongbo – Journal of Educational Measurement, 2021
Designing a multidimensional adaptive test (M-MST) based on a multidimensional item response theory (MIRT) model is critical to make full use of the advantages of both MST and MIRT in implementing multidimensional assessments. This study proposed two types of automated test assembly (ATA) algorithms and one set of routing rules that can facilitate…
Descriptors: Item Response Theory, Adaptive Testing, Automation, Test Construction
Becker, Kirk A.; Kao, Shu-chuan – Journal of Applied Testing Technology, 2022
Natural Language Processing (NLP) offers methods for understanding and quantifying the similarity between written documents. Within the testing industry these methods have been used for automatic item generation, automated scoring of text and speech, modeling item characteristics, automatic question answering, machine translation, and automated…
Descriptors: Item Banks, Natural Language Processing, Computer Assisted Testing, Scoring
Hilliard, Airlie; Kazim, Emre; Bitsakis, Theodoros; Leutner, Franziska – Journal of Intelligence, 2022
Selection methods are commonly used in talent acquisition to predict future job performance and to find the best candidates, but questionnaire-based assessments can be lengthy and lead to candidate fatigue and poor engagement, affecting completion rates and producing poor data. Gamification can mitigate some of these issues through greater…
Descriptors: Personality Measures, Personality Traits, Gamification, Imagery
Shengyu Jiang; Jiaying Xiao; Chun Wang – Grantee Submission, 2022
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. Different from traditional computerized adaptive testing setting which has a well-calibrated item bank with new items periodically added, online learning…
Descriptors: Item Response Theory, Item Banks, Bayesian Statistics, Learning Management Systems
Li, Yan; Huang, Chao; Liu, Jia – Journal of Educational and Behavioral Statistics, 2023
Cognitive diagnostic computerized adaptive testing (CD-CAT) is a cutting-edge technology in educational measurement that targets at providing feedback on examinees' strengths and weaknesses while increasing test accuracy and efficiency. To date, most CD-CAT studies have made methodological progress under simulated conditions, but little has…
Descriptors: Computer Assisted Testing, Cognitive Tests, Diagnostic Tests, Reading Tests
Hanif Akhtar – International Society for Technology, Education, and Science, 2023
For efficiency, Computerized Adaptive Test (CAT) algorithm selects items with the maximum information, typically with a 50% probability of being answered correctly. However, examinees may not be satisfied if they only correctly answer 50% of the items. Researchers discovered that changing the item selection algorithms to choose easier items (i.e.,…
Descriptors: Success, Probability, Computer Assisted Testing, Adaptive Testing
Agus Santoso; Heri Retnawati; Timbul Pardede; Ibnu Rafi; Munaya Nikma Rosyada; Gulzhaina K. Kassymova; Xu Wenxin – Practical Assessment, Research & Evaluation, 2024
The test blueprint is important in test development, where it guides the test item writer in creating test items according to the desired objectives and specifications or characteristics (so-called a priori item characteristics), such as the level of item difficulty in the category and the distribution of items based on their difficulty level.…
Descriptors: Foreign Countries, Undergraduate Students, Business English, Test Construction
Micir, Ian; Swygert, Kimberly; D'Angelo, Jean – Journal of Applied Testing Technology, 2022
The interpretations of test scores in secure, high-stakes environments are dependent on several assumptions, one of which is that examinee responses to items are independent and no enemy items are included on the same forms. This paper documents the development and implementation of a C#-based application that uses Natural Language Processing…
Descriptors: Artificial Intelligence, Man Machine Systems, Accuracy, Efficiency
Shively, Kelsey B.; Tassé, Marc J. – American Journal on Intellectual and Developmental Disabilities, 2022
The Nisonger Child Behavior Rating Form (NCBRF) was developed to specifically screen psychopathology and problem behavior in children and adolescents with IDD. This study aimed to update the NCBRF to the "Diagnostic and Statistical Manual of Mental Disorders, 5th Edition" (DSM-5) and screen for the most prevalent psychopathologies that…
Descriptors: Delphi Technique, Child Behavior, Behavior Rating Scales, Psychopathology
Sun, Bo; Zhu, Yunzong; Yao, Zeng; Xiao, Rong; Xiao, Yongkang; Wei, Yungang – IEEE Transactions on Learning Technologies, 2020
Reading comprehension tasks are commonly used for developing students' reading ability. In order to adaptively recommend reading comprehension materials to students engaged in computerized testing, the information in an item bank (a collection of test items stored in a dataset) must be effectively indexed. Familiarity with the topics present in…
Descriptors: Automation, Indexing, Item Banks, Classification
van der Linden, Wim J.; Choi, Seung W. – Journal of Educational Measurement, 2020
One of the methods of controlling test security in adaptive testing is imposing random item-ineligibility constraints on the selection of the items with probabilities automatically updated to maintain a predetermined upper bound on the exposure rates. Three major improvements of the method are presented. First, a few modifications to improve the…
Descriptors: Adaptive Testing, Item Response Theory, Feedback (Response), Item Analysis
Wyse, Adam E.; McBride, James R. – Journal of Educational Measurement, 2021
A key consideration when giving any computerized adaptive test (CAT) is how much adaptation is present when the test is used in practice. This study introduces a new framework to measure the amount of adaptation of Rasch-based CATs based on looking at the differences between the selected item locations (Rasch item difficulty parameters) of the…
Descriptors: Item Response Theory, Computer Assisted Testing, Adaptive Testing, Test Items