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Jörg D. Jescheniak; Stefan Wöhner; Herbert Schriefers – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Adaptive models of word production hold that lexical processing is shaped by recent production episodes. In particular, the models proposed by Howard et al. (2006) and Oppenheim et al. (2010) assume that the connection strength between semantic and lexical representations is updated continuously, on each use of a word. These changes make…
Descriptors: Foreign Countries, College Students, Word Recognition, Interference (Learning)
Linda Gilmore; Marilyn Campbell; Glenn Howard; Claire Ting – Educational and Developmental Psychologist, 2024
Objective: Psychologists have a responsibility to conduct standardised assessment according to instructions in test manuals and guidelines in assessment texts. In practice, circumstances arise that are not addressed in manuals and texts. The aim of this study was to explore the ways in which experienced psychologists manage some of these issues.…
Descriptors: Best Practices, Psychoeducational Methods, Psychologists, Psychological Testing
Bushra Haleem; Muhammad Saeed – Bulletin of Education and Research, 2024
The study was proposed to find out the effect of frequent testing on students' academic achievement at undergraduate level. In this study, quasi-experimental pretest post-test control group design was used. Two intact groups, control (28) and experimental (51) were selected that were undergone a Research Methods course at undergraduate level. Two…
Descriptors: Undergraduate Students, Academic Achievement, Testing, Incidence
Steven J. Carter; Matthew P. Wilcox; Neil J. Anderson – Reading in a Foreign Language, 2023
This research presents a novel reading fluency (rf) measurement formula that accounts for both reading rate and comprehension. Possible formulas were investigated with 68 participants in a strategic reading course in an IEP at a small Pacific Island university. The selected formula's scores demonstrated concurrent validity through strong…
Descriptors: Second Language Learning, Silent Reading, Reading Fluency, Reading Comprehension
Ramnarain-Seetohul, Vidasha; Bassoo, Vandana; Rosunally, Yasmine – Education and Information Technologies, 2022
In automated essay scoring (AES) systems, similarity techniques are used to compute the score for student answers. Several methods to compute similarity have emerged over the years. However, only a few of them have been widely used in the AES domain. This work shows the findings of a ten-year review on similarity techniques applied in AES systems…
Descriptors: Computer Assisted Testing, Essays, Scoring, Automation
Feinberg, Richard A.; Morrison, Carol; Raymond, Mark R. – Educational Measurement: Issues and Practice, 2022
Formal graduate education in a measurement related field provides a solid foundation for professionals who work on credentialing examinations. Those foundational skills are then expanded and refined over time as practitioners encounter complex and nuanced challenges that were not covered by or go beyond the context described in textbooks. For…
Descriptors: Credentials, Testing Programs, Graduate Study, Barriers
Lewis, Jennifer; Sireci, Stephen G. – Educational Measurement: Issues and Practice, 2022
This module is designed for educators, educational researchers, and psychometricians who would like to develop an understanding of the basic concepts of validity theory, test validation, and documenting a "validity argument." It also describes how an in-depth understanding of the purposes and uses of educational tests sets the foundation…
Descriptors: Test Validity, Tests, Testing Problems, Faculty Development
Lovett, Benjamin J. – Educational Measurement: Issues and Practice, 2023
Students with disabilities often take tests under different conditions than their peers do. Testing accommodations, which involve changes to test administration that maintain test content, include extending time limits, presenting written text through auditory means, and taking a test in a private room with fewer distractions. For some students…
Descriptors: Students with Disabilities, Testing Accommodations, Psychometrics, Student Needs
Ingrisone, Soo Jeong; Ingrisone, James N. – Educational Measurement: Issues and Practice, 2023
There has been a growing interest in approaches based on machine learning (ML) for detecting test collusion as an alternative to the traditional methods. Clustering analysis under an unsupervised learning technique appears especially promising to detect group collusion. In this study, the effectiveness of hierarchical agglomerative clustering…
Descriptors: Identification, Cooperation, Computer Assisted Testing, Artificial Intelligence
Ritschard, Gilbert – Sociological Methods & Research, 2023
This study reviews and compares indicators that can serve to characterize numerically the nature of state sequences. It also introduces several new indicators. Alongside basic measures such as the length, the number of visited distinct states, and the number of state changes, we shall consider composite measures such as turbulence and the…
Descriptors: Comparative Analysis, Measurement Techniques, Hypothesis Testing, Foreign Countries
Alhadi, Moosa; Zhang, Dake; Wang, Ting; Maher, Carolyn A. – Computers in the Schools, 2023
This research synthesizes studies that used a Digitalized Interactive Component (DIC) to assess K-12 student performance during Computer-based-Assessments (CBAs) in mathematics. A systematic search identified ten studies, including four that provided language assistance and six that provided response-construction support. We reported on the one…
Descriptors: Computer Assisted Testing, Mathematics Tests, Student Evaluation, Elementary Secondary Education
Gilbert, Kacey; Benson, Nicholas F.; Kranzler, John H. – Contemporary School Psychology, 2023
Despite the fact that the digital administration format of Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) was published in 2016, no research to date has examined its factor structure using all 10 of the primary subtests to measure intellectual ability. The purpose of this study, therefore, was to use exploratory and confirmatory…
Descriptors: Computer Assisted Testing, Children, Intelligence Tests, Factor Structure
Xiong, Yao; Schunn, Christian D.; Wu, Yong – Journal of Computer Assisted Learning, 2023
Background: For peer assessment, reliability (i.e., consistency in ratings across peers) and validity (i.e., consistency of peer ratings with instructors or experts) are frequently examined in the research literature to address a central concern of instructors and students. Although the average levels are generally promising, both reliability and…
Descriptors: Peer Evaluation, Computer Assisted Testing, Test Reliability, Test Validity
Nobuyuki Hanaki; Jan R. Magnus; Donghoon Yoo – Journal of Statistics and Data Science Education, 2023
Common sense is a dynamic concept and it is natural that our (statistical) common sense lags behind the development of statistical science. What is not so easy to understand is why common sense lags behind as much as it does. We conduct a survey among Japanese students and provide examples and tentative explanations of a number of statistical…
Descriptors: Statistics, Statistics Education, Epistemology, Statistical Analysis
Zinovy Radovilsky; Vishwanath Hegde – Curriculum and Teaching, 2023
The issues of academic integrity across online and in-person assessments were addressed by analyzing student total, conceptual, and numerical performance scores in the three modes of assessment: (1) In-person assessment with proctoring; (2) Online unproctored assessment; and (3) Respondus assessment online with proctoring. It was identified that…
Descriptors: Academic Achievement, Educational Technology, Computer Assisted Testing, Evaluation

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