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Showing 1 to 15 of 44 results Save | Export
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Suthathip Thirakunkovit – Language Testing in Asia, 2025
Establishing a cut score is a crucial aspect of the test development process since the selected cut score has the potential to impact students' performance outcomes and shape instructional strategies within the classroom. Therefore, it is vital for those involved in test development to set a cut score that is both fair and justifiable. This cut…
Descriptors: Cutting Scores, Culture Fair Tests, Language Tests, Test Construction
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Ioana-Elena Oana; Carsten Q. Schneider – Sociological Methods & Research, 2024
The robustness of qualitative comparative analysis (QCA) results features high on the agenda of methodologists and practitioners. This article aims at advancing this debate on several fronts. First, in line with the extant literature, we take a comprehensive view on robustness arguing that decisions on calibration, consistency, and frequency…
Descriptors: Robustness (Statistics), Qualitative Research, Comparative Analysis, Decision Making
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Panachanok Chanwaiwit; Lalida Wiboonwachara – rEFLections, 2025
Chiang Mai Rajabhat University Test of English Proficiency (CMRU-TEP) is a required English proficiency test for all CMRU students before graduation. Despite its meticulous design, there is an opportunity for students to improve their scores through focused efforts and targeted support. This study employs an explanatory sequential mixed-methods…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Proficiency
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Shunji Wang; Katerina M. Marcoulides; Jiashan Tang; Ke-Hai Yuan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a purpose. However, the conventional NHT meets challenges when the domain loadings are weak or the sample size is insufficient. This article proposes…
Descriptors: Hypothesis Testing, Error of Measurement, Comparative Analysis, Monte Carlo Methods
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Philippe Goldammer; Peter Lucas Stöckli; Yannik Andrea Escher; Hubert Annen; Klaus Jonas – Educational and Psychological Measurement, 2024
Indirect indices for faking detection in questionnaires make use of a respondent's deviant or unlikely response pattern over the course of the questionnaire to identify them as a faker. Compared with established direct faking indices (i.e., lying and social desirability scales), indirect indices have at least two advantages: First, they cannot be…
Descriptors: Identification, Deception, Psychological Testing, Validity
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Ilker Cingillioglu; Uri Gal; Artem Prokhorov – Education and Information Technologies, 2024
This study presents a novel approach contributing to our understanding of the design, development, and implementation AI-based systems for conducting double-blind online randomized controlled trials (RCTs) for higher education research. The process of the entire interaction with the participants (n = 1193) and their allocation to test and control…
Descriptors: Artificial Intelligence, Higher Education, Comparative Analysis, College Choice
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Markus T. Jansen; Ralf Schulze – Educational and Psychological Measurement, 2024
Thurstonian forced-choice modeling is considered to be a powerful new tool to estimate item and person parameters while simultaneously testing the model fit. This assessment approach is associated with the aim of reducing faking and other response tendencies that plague traditional self-report trait assessments. As a result of major recent…
Descriptors: Factor Analysis, Models, Item Analysis, Evaluation Methods
Tanisha Nichole McClaren – ProQuest LLC, 2024
The current proposed study sought to extend the work conducted by Ostrosky et al. (2022). The research extension aimed to include and determine the effectiveness of EBI using three instructional models as group contingencies. The results compared the lecture instructional model and interdependent and individualized EBI research results of 10- and…
Descriptors: Elementary School Students, Comparative Analysis, Teaching Methods, Lecture Method
Santi Lestari – Research Matters, 2024
Despite the increasing ubiquity of computer-based tests, many general qualifications examinations remain in a paper-based mode. Insufficient and unequal digital provision across schools is often identified as a major barrier to a full adoption of computer-based exams for general qualifications. One way to overcome this barrier is a gradual…
Descriptors: Keyboarding (Data Entry), Handwriting, Test Format, Comparative Analysis
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Srikanth Allamsetty; M. V. S. S. Chandra; Neelima Madugula; Byamakesh Nayak – IEEE Transactions on Learning Technologies, 2024
The present study is related to the problem associated with student assessment with online examinations at higher educational institutes (HEIs). With the current COVID-19 outbreak, the majority of educational institutes are conducting online examinations to assess their students, where there would always be a chance that the students go for…
Descriptors: Computer Assisted Testing, Accountability, Higher Education, Comparative Analysis
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Lishi Liang; W. L. Quint Oga-Baldwin; Kaori Nakao; Luke K. Fryer; Alex Shum – Technology in Language Teaching & Learning, 2024
Phonological processing of written characters has been recognized as a crucial element in acquiring literacy in any language, both native and foreign. This study aimed to assess Japanese primary school students' phoneme-grapheme recognition skills using both paper-based and touch-interface tests. Differences between the two test formats and the…
Descriptors: Phoneme Grapheme Correspondence, Language Tests, Gamification, Elementary School Students
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Holly Robson; Harriet Thomasson; Matthew H. Davis – International Journal of Language & Communication Disorders, 2024
Background: The use of telepractice in aphasia research and therapy is increasing in frequency. Teleassessment in aphasia has been demonstrated to be reliable. However, neuropsychological and clinical language comprehension assessments are not always readily translatable to an online environment and people with severe language comprehension or…
Descriptors: Aphasia, Severity (of Disability), Videoconferencing, Comparative Analysis
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Christophe O. Soulage; Fabien Van Coppenolle; Fitsum Guebre-Egziabher – Advances in Physiology Education, 2024
Artificial intelligence (AI) has gained massive interest with the public release of the conversational AI "ChatGPT," but it also has become a matter of concern for academia as it can easily be misused. We performed a quantitative evaluation of the performance of ChatGPT on a medical physiology university examination. Forty-one answers…
Descriptors: Medical Students, Medical Education, Artificial Intelligence, Computer Software
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Mi-Hyun Bang; Young-Min Lee – Education and Information Technologies, 2024
The Human Resources Development Service of Korea developed a digital exam for five representative engineering categories and conducted a pilot study comparing the findings with the paper-and-pencil exam results from the last three years. This study aimed to compare the test efficiency between digital and paper-and-pencil examinations. A digital…
Descriptors: Engineering Education, Computer Assisted Testing, Foreign Countries, Human Resources
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Matt I. Brown; Patrick R. Heck; Christopher F. Chabris – Journal of Autism and Developmental Disorders, 2024
The Social Shapes Test (SST) is a measure of social intelligence which does not use human faces or rely on extensive verbal ability. The SST has shown promising validity among adults without autism spectrum disorder (ASD), but it is uncertain whether it is suitable for adults with ASD. We find measurement invariance between adults with (n = 229)…
Descriptors: Interpersonal Competence, Autism Spectrum Disorders, Emotional Intelligence, Verbal Ability
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