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Semih Asiret; Seçil Ömür Sünbül – International Journal of Psychology and Educational Studies, 2023
In this study, it was aimed to examine the effect of missing data in different patterns and sizes on test equating methods under the NEAT design for different factors. For this purpose, as part of this study, factors such as sample size, average difficulty level difference between the test forms, difference between the ability distribution,…
Descriptors: Research Problems, Data, Test Items, Equated Scores
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Elka Johansson; Sutharson Kanapathippillai; Arifur Khan; Steven Dellaportas – Accounting Education, 2023
Research on formative assessment in accounting education examines the learning outcomes stemming from e-assessment or formative assessment within a stand-alone subject, but few studies examine the benefits and implications of continuous formative assessment or the perceptions of students who undertake formative assessment. The findings of…
Descriptors: Formative Evaluation, Accounting, Business Administration Education, Student Attitudes
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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
Daniel McNeish – Grantee Submission, 2023
Factor analysis is often used to model scales created to measure latent constructs, and internal structure validity evidence is commonly assessed with indices like SRMR, RMSEA, and CFI. These indices are essentially effect size measures and definitive benchmarks regarding which values connote reasonable fit have been elusive. Simulations from the…
Descriptors: Models, Testing, Indexes, Factor Analysis
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Gönülates, Emre – Educational and Psychological Measurement, 2019
This article introduces the Quality of Item Pool (QIP) Index, a novel approach to quantifying the adequacy of an item pool of a computerized adaptive test for a given set of test specifications and examinee population. This index ranges from 0 to 1, with values close to 1 indicating the item pool presents optimum items to examinees throughout the…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Error of Measurement
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Nisbet, Isabel; Shaw, Stuart D. – Assessment in Education: Principles, Policy & Practice, 2019
Fairness in assessment is seen as increasingly important but there is a need for greater clarity in use of the term 'fair'. Also, fairness is perceived through a range of 'lenses' reflecting different traditions of thought. The lens used determines how fairness is seen and described. This article distinguishes different uses of 'fair' which have…
Descriptors: Test Bias, Measurement, Theories, Educational Assessment
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Erdem-Kara, Basak – International Journal of Assessment Tools in Education, 2019
Computer adaptive testing is an important research field in educational measurement, and simulation studies play a critically important role in CAT development and evaluation. Both Monte Carlo and Post Hoc simulations are frequently used in CAT studies in order to investigate the effects of different factors on test efficiency and to compare…
Descriptors: Computer Assisted Testing, Adaptive Testing, Programming Languages, Monte Carlo Methods
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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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