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TsungHan Ho – Applied Measurement in Education, 2023
An operational multistage adaptive test (MST) requires the development of a large item bank and the effort to continuously replenish the item bank due to concerns about test security and validity over the long term. New items should be pretested and linked to the item bank before being used operationally. The linking item volume fluctuations in…
Descriptors: Bayesian Statistics, Regression (Statistics), Test Items, Pretesting
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Huinan Liu; Bo Chen; Kai Chen; Yanting Jing – Journal of Chemical Education, 2023
The diversity of scientific methods has received increasing attention in the field of science education. This paper aimed to investigate how preservice chemistry teachers perceive scientific methods and their diversity. Based on the theoretical framework of Brandon's Matrix and previous research, two tasks (i.e., Task 1 "understanding of the…
Descriptors: Preservice Teachers, Knowledge Level, Scientific Methodology, Diversity
Mark L. Davison; David J. Weiss; Joseph N. DeWeese; Ozge Ersan; Gina Biancarosa; Patrick C. Kennedy – Journal of Educational and Behavioral Statistics, 2023
A tree model for diagnostic educational testing is described along with Monte Carlo simulations designed to evaluate measurement accuracy based on the model. The model is implemented in an assessment of inferential reading comprehension, the Multiple-Choice Online Causal Comprehension Assessment (MOCCA), through a sequential, multidimensional,…
Descriptors: Cognitive Processes, Diagnostic Tests, Measurement, Accuracy
Kalemdaroglu-Wheeler, Elif – ProQuest LLC, 2023
The purpose of this qualitative exploratory case study was to explore teachers' and administrators' perceptions of test score pollution deriving from COVID-19-related issues that may affect students' test scores on state-mandated standardized tests for grades six through 12 in a state along the Atlantic Coast of the United States. Four research…
Descriptors: Testing Problems, Scores, COVID-19, Pandemics
Amerson, Gladys G. – ProQuest LLC, 2023
The purpose of this quantitative study was to examine the relationship between the use of online proctoring software and technostress, age, and years' experience utilizing educational technology among nurse educators' using online proctoring software for the first time during the COVID-19 pandemic. A total of 131 surveys were returned via…
Descriptors: College Faculty, Nursing Education, Educational Technology, Stress Variables
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Lovett, Benjamin J.; Fienup, Daniel M. – Assessment for Effective Intervention, 2023
Students with disabilities are often given accommodations in testing situations (e.g., extended testing time). However, for many students with high-incidence disabilities, interventions can reduce the need for these accommodations or serve as a helpful supplement to accommodations. Applied behavior analysis provides a framework for understanding…
Descriptors: Testing Accommodations, Applied Behavior Analysis, Evidence Based Practice, Intervention
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Steven L. Wise; Megan R. Kuhfeld; Marlit Annalena Lindner – Applied Measurement in Education, 2024
When student achievement is assessed, we seek to elicit a student's maximum performance -- a goal requiring the assumption that the student is fully engaged. Otherwise, to the extent that disengagement occurs, test performance is likely to suffer. Effectively managing test-taking disengagement requires an understanding of the testing conditions…
Descriptors: Testing, Attention Span, Learner Engagement, Time Factors (Learning)
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Patrick Kyllonen; Amit Sevak; Teresa Ober; Ikkyu Choi; Jesse Sparks; Daniel Fishtein – ETS Research Report Series, 2024
Assessment refers to a broad array of approaches for measuring or evaluating a person's (or group of persons') skills, behaviors, dispositions, or other attributes. Assessments range from standardized tests used in admissions, employee selection, licensure examinations, and domestic and international large-scale assessments of cognitive and…
Descriptors: Assessment Literacy, Testing, Test Bias, Test Construction
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Jewsbury, Paul A.; van Rijn, Peter W. – Journal of Educational and Behavioral Statistics, 2020
In large-scale educational assessment data consistent with a simple-structure multidimensional item response theory (MIRT) model, where every item measures only one latent variable, separate unidimensional item response theory (UIRT) models for each latent variable are often calibrated for practical reasons. While this approach can be valid for…
Descriptors: Item Response Theory, Computation, Test Items, Adaptive Testing
Sinharay, Sandip; van Rijn, Peter W. – Journal of Educational and Behavioral Statistics, 2020
Response time models (RTMs) are of increasing interest in educational and psychological testing. This article focuses on the lognormal model for response times, which is one of the most popular RTMs. Several existing statistics for testing normality and the fit of factor analysis models are repurposed for testing the fit of the lognormal model. A…
Descriptors: Educational Testing, Psychological Testing, Goodness of Fit, Factor Analysis
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Coutinho, Mariana V. C.; Papanastasiou, Elena; Agni, Stylianou; Vasko, John M.; Couchman, Justin J. – International Journal of Instruction, 2020
In this study, we examined monitoring accuracy during in class-exams for Emirati, American and Cypriot college students. In experiment 1, 120 students made local, confidence-ratings for each multiple-choice question in a psychology exam and also estimated their performance at the end of the exam. In experiment 2, to investigate the effect of…
Descriptors: Metacognition, Foreign Countries, Cultural Differences, Accuracy
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Laird, Robert D. – Developmental Psychology, 2020
Researchers are often inclined to test agreement or discrepancy hypotheses using difference scores. This commentary explains 2 mathematical-statistical principles underlying associations with difference scores and 2 conceptual-interpretation problems that make difference scores inappropriate for testing such hypotheses. The commentary provides…
Descriptors: Educational Research, Hypothesis Testing, Differences, Scores
Susanti, Yuni; Tokunaga, Takenobu; Nishikawa, Hitoshi – Research and Practice in Technology Enhanced Learning, 2020
The present study focuses on the integration of an automatic question generation (AQG) system and a computerised adaptive test (CAT). We conducted two experiments. In the first experiment, we administered sets of questions to English learners to gather their responses. We further used their responses in the second experiment, which is a…
Descriptors: Computer Assisted Testing, Test Items, Simulation, English Language Learners
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Sánchez Sánchez, Ernesto; García Rios, Víctor N.; Silvestre Castro, Eleazar; Licea, Guadalupe Carrasco – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
In this paper, we address the following questions: What misconceptions do high school students exhibit in their first encounter with significance test problems through a repeated sampling approach? Which theory or framework could explain the presence and features of such patterns? With brief prior instruction on the use of Fathom software to…
Descriptors: High School Students, Misconceptions, Statistical Significance, Testing
Sinharay, Sandip; van Rijn, Peter – Grantee Submission, 2020
Response-time models are of increasing interest in educational and psychological testing. This paper focuses on the lognormal model for response times (van der Linden, 2006), which is one of the most popular response-time models. Several existing statistics for testing normality and the fit of factor-analysis models are repurposed for testing the…
Descriptors: Educational Testing, Psychological Testing, Goodness of Fit, Factor Analysis
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