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Falk, Carl F.; Feuerstahler, Leah M. – Educational and Psychological Measurement, 2022
Large-scale assessments often use a computer adaptive test (CAT) for selection of items and for scoring respondents. Such tests often assume a parametric form for the relationship between item responses and the underlying construct. Although semi- and nonparametric response functions could be used, there is scant research on their performance in a…
Descriptors: Item Response Theory, Adaptive Testing, Computer Assisted Testing, Nonparametric Statistics
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Melchor Sánchez-Mendiola; Abigail P. Manzano-Patiño; Manuel García-Minjares; Enrique Buzo Casanova; Careli J. Herrera Penilla; Katyna Goytia-Rodríguez; Adrián Martínez-González – Educational Assessment, Evaluation and Accountability, 2023
COVID-19 has disrupted higher education globally, and there is scarce information about the "learning loss" in university students throughout this crisis. The goal of the study was to compare scores in a large-scale knowledge diagnostic exam applied to students admitted to the university, before and during the pandemic. Research design…
Descriptors: College Freshmen, Diagnostic Tests, Scores, Achievement Gains
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Kim, Ahyoung Alicia; Yumsek, Meltem; Kemp, Jason A.; Chapman, Mark; Cook, H. Gary – Language Testing, 2023
English learners (ELs) comprise approximately 10% of kindergarten to Grade 12 students in US public schools, with about 15% of ELs identified as having disabilities. English language proficiency (ELP) assessments must adhere to universal design principles and incorporate universal tools, designed to increase accessibility for all ELs, including…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Students with Disabilities
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Kárász, Judit T.; Széll, Krisztián; Takács, Szabolcs – Quality Assurance in Education: An International Perspective, 2023
Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…
Descriptors: Test Length, Probability, Comparative Analysis, Difficulty Level
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Olsho, Alexis; Smith, Trevor I.; Eaton, Philip; Zimmerman, Charlotte; Boudreaux, Andrew; White Brahmia, Suzanne – Physical Review Physics Education Research, 2023
We developed the Physics Inventory of Quantitative Literacy (PIQL) to assess students' quantitative reasoning in introductory physics contexts. The PIQL includes several "multiple-choice-multipleresponse" (MCMR) items (i.e., multiple-choice questions for which more than one response may be selected) as well as traditional single-response…
Descriptors: Multiple Choice Tests, Science Tests, Physics, Measures (Individuals)
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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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Marinho, Nathalie L.; Witmer, Sara E.; Jess, Nicole; Roschmann, Sarina – Language Assessment Quarterly, 2023
The use of accommodations is often recommended to remove barriers to academic testing among English Learners (ELs). However, it is unclear whether accommodations are particularly effective at improving ELs' test scores. A growing foundation of empirical work has explored this topic. We conducted a meta-analysis that examined several possible…
Descriptors: English Language Learners, Testing Accommodations, Barriers, Scores
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Soland, James; Kuhfeld, Megan; Rios, Joseph – Large-scale Assessments in Education, 2021
Low examinee effort is a major threat to valid uses of many test scores. Fortunately, several methods have been developed to detect noneffortful item responses, most of which use response times. To accurately identify noneffortful responses, one must set response time thresholds separating those responses from effortful ones. While other studies…
Descriptors: Reaction Time, Measurement, Response Style (Tests), Reading Tests
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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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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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Jones, Paul; Tong, Ye; Liu, Jinghua; Borglum, Joshua; Primoli, Vince – Journal of Educational Measurement, 2022
This article studied two methods to detect mode effects in two credentialing exams. In Study 1, we used a "modal scale comparison approach," where the same pool of items was calibrated separately, without transformation, within two TC cohorts (TC1 and TC2) and one OP cohort (OP1) matched on their pool-based scale score distributions. The…
Descriptors: Scores, Credentials, Licensing Examinations (Professions), Computer Assisted Testing
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