Publication Date
In 2025 | 3 |
Since 2024 | 7 |
Descriptor
Test Items | 7 |
Test Length | 7 |
Accuracy | 6 |
Test Format | 4 |
Comparative Analysis | 3 |
Computer Assisted Testing | 3 |
Item Response Theory | 3 |
Monte Carlo Methods | 3 |
Sample Size | 3 |
Classification | 2 |
Error of Measurement | 2 |
More ▼ |
Source
International Journal of… | 2 |
ACT Education Corp. | 1 |
Applied Measurement in… | 1 |
Educational and Psychological… | 1 |
Journal of Special Education… | 1 |
ProQuest LLC | 1 |
Author
Allan S. Cohen | 1 |
Ann Arthur | 1 |
Chen Qiu | 1 |
Chi-Yu Huang | 1 |
Dongmei Li | 1 |
Fatih Orçan | 1 |
Hasibe Yahsi Sari | 1 |
Hongling Wang | 1 |
Hulya Kelecioglu | 1 |
Jing Ma | 1 |
Lixin Yuan | 1 |
More ▼ |
Publication Type
Reports - Research | 6 |
Journal Articles | 5 |
Dissertations/Theses -… | 1 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 3 | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Primary Education | 1 |
Secondary Education | 1 |
Audience
Location
Germany | 1 |
Laws, Policies, & Programs
Assessments and Surveys
ACT Assessment | 1 |
Program for International… | 1 |
What Works Clearinghouse Rating
Hasibe Yahsi Sari; Hulya Kelecioglu – International Journal of Assessment Tools in Education, 2025
The aim of the study is to examine the effect of polytomous item ratio on ability estimation in different conditions in multistage tests (MST) using mixed tests. The study is simulation-based research. In the PISA 2018 application, the ability parameters of the individuals and the item pool were created by using the item parameters estimated from…
Descriptors: Test Items, Test Format, Accuracy, Test Length
Jing Ma – ProQuest LLC, 2024
This study investigated the impact of scoring polytomous items later on measurement precision, classification accuracy, and test security in mixed-format adaptive testing. Utilizing the shadow test approach, a simulation study was conducted across various test designs, lengths, number and location of polytomous item. Results showed that while…
Descriptors: Scoring, Adaptive Testing, Test Items, Classification
Shaojie Wang; Won-Chan Lee; Minqiang Zhang; Lixin Yuan – Applied Measurement in Education, 2024
To reduce the impact of parameter estimation errors on IRT linking results, recent work introduced two information-weighted characteristic curve methods for dichotomous items. These two methods showed outstanding performance in both simulation and pseudo-form pseudo-group analysis. The current study expands upon the concept of information…
Descriptors: Item Response Theory, Test Format, Test Length, Error of Measurement
Fatih Orçan – International Journal of Assessment Tools in Education, 2025
Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…
Descriptors: Factor Analysis, Factor Structure, Item Response Theory, Sample Size
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
Nikola Ebenbeck; Markus Gebhardt – Journal of Special Education Technology, 2024
Technologies that enable individualization for students have significant potential in special education. Computerized Adaptive Testing (CAT) refers to digital assessments that automatically adjust their difficulty level based on students' abilities, allowing for personalized, efficient, and accurate measurement. This article examines whether CAT…
Descriptors: Computer Assisted Testing, Students with Disabilities, Special Education, Grade 3
Sedat Sen; Allan S. Cohen – Educational and Psychological Measurement, 2024
A Monte Carlo simulation study was conducted to compare fit indices used for detecting the correct latent class in three dichotomous mixture item response theory (IRT) models. Ten indices were considered: Akaike's information criterion (AIC), the corrected AIC (AICc), Bayesian information criterion (BIC), consistent AIC (CAIC), Draper's…
Descriptors: Goodness of Fit, Item Response Theory, Sample Size, Classification