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Sireci, Stephen G.; Suarez-Alvarez, Javier – Educational Measurement: Issues and Practice, 2022
The COVID-19 pandemic negatively affected the quality of data from educational testing programs. These data were previously used for many important purposes ranging from placing students in instructional programs to school accountability. In this article, we draw from the research design literature to point out the limitations inherent in…
Descriptors: Decision Making, Data Use, COVID-19, Pandemics
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Mulligan, Neil W.; Buchin, Zachary L.; West, John T. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Memory retrieval affects subsequent memory in ways both positive (e.g., the testing effect) and negative (e.g., retrieval-induced forgetting, RIF). The changes to memory that retrieval produces can be thought of as the encoding consequences of retrieval, examined here with respect to attention. In three experiments, participants first studied…
Descriptors: Attention, Testing, Recall (Psychology), Memory
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Dombrowski, Stefan C.; Casey, Corinne – Journal of Psychoeducational Assessment, 2022
This article reviews the administrative, scoring, and psychometric properties of the Wechsler Individual Achievement Test, Fourth Edition (WIAT-4, NCS Pearson, 2020). The WIAT-4 is one of the more commonly administered broadband measures of academic achievement. The instrument was determined to be well-conceptualized, and generally…
Descriptors: Achievement Tests, Testing, Scoring, Psychometrics
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Ediger, Marlow – College Student Journal, 2022
How frequently should pupils be tested in a given school year using standardized tests? Perhaps, once in a given school year which makes it possible for parents and teachers to notice how a child compares with cohorts in the nation in a specific school year. The results need careful reviewing in order to assist in making curricular decisions. Each…
Descriptors: Testing, Standardized Tests, Decision Making, Student Evaluation
Bradley David Rogers – ProQuest LLC, 2022
Considered normative from the second half of the 20th century (Danziger, 1990), null hypothesis statistical testing (NHST) has received consistent, largely unheeded criticism. Critiques have received more attention in recent years with the recognition of the replication crisis in the social sciences and the American Statistical Society's statement…
Descriptors: Statistical Analysis, Hypothesis Testing, History, Monte Carlo Methods
Chenchen Ma; Gongjun Xu – Grantee Submission, 2022
Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models widely used in educational, psychological and social sciences. In many applications of CDMs, certain hierarchical structures among the latent attributes are assumed by researchers to characterize their dependence structure. Specifically, a directed acyclic…
Descriptors: Vertical Organization, Models, Evaluation, Statistical Analysis
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Sanne Unger; Alanna Lecher – Journal of Effective Teaching in Higher Education, 2024
This action research project sought to understand how giving students a choice in how to demonstrate mastery of a reading would affect both grades and evaluations of the instructor, given that assessment choice might increase student engagement. We examined the effect of student assessment choice on grades and course evaluations, the two…
Descriptors: College Faculty, College Students, Alternative Assessment, Test Selection
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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Grantee Submission, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-In-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this paper, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Educational Measurement: Issues and Practice, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-in-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this article, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
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Lin Chen; Charles Perfetti; Yi Xu – Journal of Psycholinguistic Research, 2025
Research on alphabetic reading presents conflicting findings concerning the timing of orthographic and meaning processes in reading morphologically complex words. Chinese characters offer distinct visual cues for morphemes, enabling straightforward manipulations to examine orthographic and meaning processes. Guided by the Character-Word Dual…
Descriptors: Chinese, Ideography, Symbolic Language, Second Language Learning
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Zahra Banitalebi; Masoomeh Estaji; Gavin T. L. Brown – Educational Technology & Society, 2025
The significance of teacher's assessment literacy (AL) was originally captured by the 1990 standards for teacher's competence in educational assessment. Competence in assessment has changed with the widespread use of recent technology advancements in educational assessment. Consequently, new measures are needed to measure Teacher Assessment…
Descriptors: Assessment Literacy, Computer Assisted Testing, Measurement Techniques, Questionnaires
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Collin Shepley; Amanda Leigh Duncan; Anthony P. Setari – Journal of Early Intervention, 2025
The provision of progress monitoring within publicly funded early childhood classrooms is legally required, supported by empirical research, and recommended by early childhood professional organizations, for teachers providing Part B services under the Individuals with Disabilities Education Act. Despite the widespread recognition of progress…
Descriptors: Progress Monitoring, Measures (Individuals), Test Construction, Test Validity
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Mo Zhang; Paul Deane; Andrew Hoang; Hongwen Guo; Chen Li – Educational Measurement: Issues and Practice, 2025
In this paper, we describe two empirical studies that demonstrate the application and modeling of keystroke logs in writing assessments. We illustrate two different approaches of modeling differences in writing processes: analysis of mean differences in handcrafted theory-driven features and use of large language models to identify stable personal…
Descriptors: Writing Tests, Computer Assisted Testing, Keyboarding (Data Entry), Writing Processes
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Sukru Murat Cebeci; Selcuk Acar – Journal of Creative Behavior, 2025
This study presents the Cebeci Test of Creativity (CTC), a novel computerized assessment tool designed to address the limitations of traditional open-ended paper-and-pencil creativity tests. The CTC is designed to overcome the challenges associated with the administration and manual scoring of traditional paper and pencil creativity tests. In this…
Descriptors: Creativity, Creativity Tests, Test Construction, Test Validity
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Salvatore G. Garofalo; Stephen J. Farenga – Science & Education, 2025
The purpose of this study was to gauge the attitudes towards artificial intelligence (AI) use in the science classroom by science teachers at the start of generative AI chatbot popularity (March 2023). The lens of distributed cognition afforded an opportunity to gather thoughts, opinions, and perceptions from 24 secondary science educators as well…
Descriptors: Secondary School Teachers, Science Teachers, Teacher Attitudes, Artificial Intelligence
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