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Sebastian Moncaleano – ProQuest LLC, 2021
The growth of computer-based testing over the last two decades has motivated the creation of innovative item formats. It is often argued that technology-enhanced items (TEIs) provide better measurement of test-takers' knowledge, skills, and abilities by increasing the authenticity of tasks presented to test-takers (Sireci & Zenisky, 2006).…
Descriptors: Computer Assisted Testing, Test Format, Test Items, Classification
Filipe Manuel Vidal Falcão; Daniela S.M. Pereira; José Miguel Pêgo; Patrício Costa – Education and Information Technologies, 2024
Progress tests (PT) are a popular type of longitudinal assessment used for evaluating clinical knowledge retention and long-life learning in health professions education. Most PTs consist of multiple-choice questions (MCQs) whose development is costly and time-consuming. Automatic Item Generation (AIG) generates test items through algorithms,…
Descriptors: Automation, Test Items, Progress Monitoring, Medical Education
Inga Laukaityte; Marie Wiberg – Practical Assessment, Research & Evaluation, 2024
The overall aim was to examine effects of differences in group ability and features of the anchor test form on equating bias and the standard error of equating (SEE) using both real and simulated data. Chained kernel equating, Postratification kernel equating, and Circle-arc equating were studied. A college admissions test with four different…
Descriptors: Ability Grouping, Test Items, College Entrance Examinations, High Stakes Tests
Baldwin, Peter; Clauser, Brian E. – Journal of Educational Measurement, 2022
While score comparability across test forms typically relies on common (or randomly equivalent) examinees or items, innovations in item formats, test delivery, and efforts to extend the range of score interpretation may require a special data collection before examinees or items can be used in this way--or may be incompatible with common examinee…
Descriptors: Scoring, Testing, Test Items, Test Format
Sen, Sedat – Creativity Research Journal, 2022
The purpose of this study was to estimate the overall reliability values for the scores produced by Runco Ideational Behavior Scale (RIBS) and explore the variability of RIBS score reliability across studies. To achieve this, a reliability generalization meta-analysis was carried out using the 86 Cronbach's alpha estimates obtained from 77 studies…
Descriptors: Generalization, Creativity, Meta Analysis, Higher Education
Ozge Ersan Cinar – ProQuest LLC, 2022
In educational tests, a group of questions related to a shared stimulus is called a testlet (e.g., a reading passage with multiple related questions). Use of testlets is very common in educational tests. Additionally, computerized adaptive testing (CAT) is a mode of testing where the test forms are created in real time tailoring to the test…
Descriptors: Test Items, Computer Assisted Testing, Adaptive Testing, Educational Testing
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
McGuire, Michael J. – International Journal for the Scholarship of Teaching and Learning, 2023
College students in a lower-division psychology course made metacognitive judgments by predicting and postdicting performance for true-false, multiple-choice, and fill-in-the-blank question sets on each of three exams. This study investigated which question format would result in the most accurate metacognitive judgments. Extending Koriat's (1997)…
Descriptors: Metacognition, Multiple Choice Tests, Accuracy, Test Format
Zhao, Wenbo; Li, Jiaojiao; Shanks, David R.; Li, Baike; Hu, Xiao; Yang, Chunliang; Luo, Liang – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Making metamemory judgments reactively changes item memory itself. Here we report the first investigation of reactive influences of making judgments of learning (JOLs) on interitem relational memory--specifically, temporal (serial) order memory. Experiment 1 found that making JOLs impaired order reconstruction. Experiment 2 observed minimal…
Descriptors: Metacognition, Memory, Meta Analysis, Recall (Psychology)
Fu-Yun Yu – Interactive Learning Environments, 2024
Currently, 50 + learning systems supporting student question-generation (SQG) activities have been developed. While generating questions of different types is supported in many of these systems, systems allowing students to generate questions around a scenario (i.e. student testlet-generation, STG) are not yet available. Noting the increasing…
Descriptors: Computer Assisted Testing, Test Format, Test Construction, Test Items
Peter A. Edelsbrunner; Bianca A. Simonsmeier; Michael Schneider – Educational Psychology Review, 2025
Knowledge is an important predictor and outcome of learning and development. Its measurement is challenged by the fact that knowledge can be integrated and homogeneous, or fragmented and heterogeneous, which can change through learning. These characteristics of knowledge are at odds with current standards for test development, demanding a high…
Descriptors: Meta Analysis, Predictor Variables, Learning Processes, Knowledge Level
Dongmei Li; Shalini Kapoor; Ann Arthur; Chi-Yu Huang; YoungWoo Cho; Chen Qiu; Hongling Wang – ACT Education Corp., 2025
Starting in April 2025, ACT will introduce enhanced forms of the ACT® test for national online testing, with a full rollout to all paper and online test takers in national, state and district, and international test administrations by Spring 2026. ACT introduced major updates by changing the test lengths and testing times, providing more time per…
Descriptors: College Entrance Examinations, Testing, Change, Scoring
Lu, Ru; Kim, Sooyeon – ETS Research Report Series, 2021
This study evaluated the impact of subgroup weighting for equating through a common-item anchor. We used data from a single test form to create two research forms for which the equating relationship was known. The results showed that equating was most accurate when the new form and reference form samples were weighted to be similar to the target…
Descriptors: Equated Scores, Weighted Scores, Raw Scores, Test Items
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
Gruss, Richard; Clemons, Josh – Journal of Computer Assisted Learning, 2023
Background: The sudden growth in online instruction due to COVID-19 restrictions has given renewed urgency to questions about remote learning that have remained unresolved. Web-based assessment software provides instructors an array of options for varying testing parameters, but the pedagogical impacts of some of these variations has yet to be…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Mathematics Tests

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