Publication Date
In 2025 | 2 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 32 |
Since 2016 (last 10 years) | 63 |
Since 2006 (last 20 years) | 94 |
Descriptor
Source
Author
Bulut, Okan | 3 |
Goldhammer, Frank | 3 |
O'Grady, Stefan | 3 |
Frey, Andreas | 2 |
Kalogrides, Demetra | 2 |
Kroehne, Ulf | 2 |
Podolsky, Anne | 2 |
Robitzsch, Alexander | 2 |
A. Lopez, Alexis | 1 |
Ackermann, Nicole | 1 |
Aksakalli, Ayhan | 1 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 3 |
Parents | 1 |
Policymakers | 1 |
Students | 1 |
Location
Turkey | 14 |
Germany | 7 |
Australia | 5 |
Belgium | 2 |
Hong Kong | 2 |
Japan | 2 |
Malaysia | 2 |
Netherlands | 2 |
New Jersey | 2 |
Ohio | 2 |
United Kingdom | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jiawei Xiong; George Engelhard; Allan S. Cohen – Measurement: Interdisciplinary Research and Perspectives, 2025
It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…
Descriptors: Responses, Test Items, Test Format, Grade 8
Zeynep Uzun; Tuncay Ögretmen – Large-scale Assessments in Education, 2025
This study aimed to evaluate the item model fit by equating the forms of the PISA 2018 mathematics subtest with concurrent common items equating in samples from Türkiye, the UK, and Italy. The answers given in mathematics subtest Forms 2, 8, and 12 were used in this context. Analyzes were performed using the Dichotomous Rasch Model in the WINSTEPS…
Descriptors: Item Response Theory, Test Items, Foreign Countries, Mathematics Tests
Harrison, Scott; Kroehne, Ulf; Goldhammer, Frank; Lüdtke, Oliver; Robitzsch, Alexander – Large-scale Assessments in Education, 2023
Background: Mode effects, the variations in item and scale properties attributed to the mode of test administration (paper vs. computer), have stimulated research around test equivalence and trend estimation in PISA. The PISA assessment framework provides the backbone to the interpretation of the results of the PISA test scores. However, an…
Descriptors: Scoring, Test Items, Difficulty Level, Foreign Countries
Green, Clare; Hughes, Sarah – Cambridge University Press & Assessment, 2022
The Digital High Stakes Assessment Programme in Cambridge University Press & Assessment is developing digital assessments for UK and global teachers and learners. In one development, the team are making decisions about the assessment models to use to assess computing systems knowledge and understanding. This research took place as part of the…
Descriptors: Test Items, Computer Science, Achievement Tests, Objective Tests
Emma Walland – Research Matters, 2024
GCSE examinations (taken by students aged 16 years in England) are not intended to be speeded (i.e. to be partly a test of how quickly students can answer questions). However, there has been little research exploring this. The aim of this research was to explore the speededness of past GCSE written examinations, using only the data from scored…
Descriptors: Educational Change, Test Items, Item Analysis, Scoring
van den Broek, Gesa S. E.; Gerritsen, Suzanne L.; Oomen, Iris T. J.; Velthoven, Eva; van Boxtel, Femke H. J.; Kester, Liesbeth; van Gog, Tamara – Journal of Educational Psychology, 2023
Multiple-choice questions (MCQs) are popular in vocabulary software because they can be scored automatically and are compatible with many input devices (e.g., touchscreens). Answering MCQs is beneficial for learning, especially when learners retrieve knowledge from memory to evaluate plausible answer alternatives. However, such retrieval may not…
Descriptors: Multiple Choice Tests, Vocabulary Development, Test Format, Cues
Cronin, Sean D. – ProQuest LLC, 2023
This convergent, parallel, mixed-methods study with qualitative and quantitative content analysis methods was conducted to identify what type of thinking is required by the College and Career Readiness Assessment (CCRA+) by (a) determining the frequency and percentage of questions categorized as higher-level thinking within each cell of Hess'…
Descriptors: Cues, College Readiness, Career Readiness, Test Items
Hryvko, Antonina V.; Zhuk, Yurii O. – Journal of Curriculum and Teaching, 2022
A feature of the presented study is a comprehensive approach to studying the reliability problem of linguistic testing results due to the several functional and variable factors impact. Contradictions and ambiguous views of scientists on the researched issues determine the relevance of this study. The article highlights the problem of equivalence…
Descriptors: Student Evaluation, Language Tests, Test Format, Test Items
Yi-Hsuan Lee; Yue Jia – Applied Measurement in Education, 2024
Test-taking experience is a consequence of the interaction between students and assessment properties. We define a new notion, rapid-pacing behavior, to reflect two types of test-taking experience -- disengagement and speededness. To identify rapid-pacing behavior, we extend existing methods to develop response-time thresholds for individual items…
Descriptors: Adaptive Testing, Reaction Time, Item Response Theory, Test Format
Steven R. Hiner – ProQuest LLC, 2023
The purpose of this study was to determine if there were significant statistical differences between scores on constructed response and computer-scorable questions on an accelerated middle school math placement test in a large urban school district in Ohio, and to ensure that all students have an opportunity to take the test. Five questions on a…
Descriptors: Scores, Middle Schools, Mathematics Tests, Placement Tests
Musa Adekunle Ayanwale – Discover Education, 2023
Examination scores obtained by students from the West African Examinations Council (WAEC), and National Business and Technical Examinations Board (NABTEB) may not be directly comparable due to differences in examination administration, item characteristics of the subject in question, and student abilities. For more accurate comparisons, scores…
Descriptors: Equated Scores, Mathematics Tests, Test Items, Test Format
Kim, Dong-In; Julian, Marc; Hermann, Pam – Online Submission, 2022
In test equating, one critical equating property is the group invariance property which indicates that the equating function used to convert performance on each alternate form to the reporting scale should be the same for various subgroups. To mitigate the impact of disrupted learning on the item parameters during the COVID-19 pandemic, a…
Descriptors: COVID-19, Pandemics, Test Format, Equated Scores
Soysal, Sumeyra; Yilmaz Kogar, Esin – International Journal of Assessment Tools in Education, 2021
In this study, whether item position effects lead to DIF in the condition where different test booklets are used was investigated. To do this the methods of Lord's chi-square and Raju's unsigned area with the 3PL model under with and without item purification were used. When the performance of the methods was compared, it was revealed that…
Descriptors: Item Response Theory, Test Bias, Test Items, Comparative Analysis
Magdalen Beiting-Parrish – ProQuest LLC, 2022
The following is a five-chapter dissertation surrounding the use of text mining techniques for better understanding the language of mathematics items from standardized tests to improve linguistic equity of these items to support assessment of English Language Learners. Introduction: The dissertation begins with an overview of the problem that…
Descriptors: Mathematics Tests, Test Items, Item Analysis, Standardized Tests
Shear, Benjamin R. – Journal of Educational Measurement, 2023
Large-scale standardized tests are regularly used to measure student achievement overall and for student subgroups. These uses assume tests provide comparable measures of outcomes across student subgroups, but prior research suggests score comparisons across gender groups may be complicated by the type of test items used. This paper presents…
Descriptors: Gender Bias, Item Analysis, Test Items, Achievement Tests