Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Algorithms | 3 |
Educational Assessment | 3 |
Item Response Theory | 3 |
Computation | 2 |
Evaluation Methods | 2 |
Statistical Inference | 2 |
Accuracy | 1 |
Achievement Tests | 1 |
Bayesian Statistics | 1 |
Clinical Diagnosis | 1 |
Data Analysis | 1 |
More ▼ |
Source
Grantee Submission | 3 |
Author
Gongjun Xu | 3 |
Chun Wang | 2 |
Chenchen Ma | 1 |
Jing Lu | 1 |
Jing Ouyang | 1 |
Jiwei Zhang | 1 |
Sainan Xu | 1 |
Tianci Liu | 1 |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Education Level
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 1 |
What Works Clearinghouse Rating
Chenchen Ma; Jing Ouyang; Gongjun Xu – Grantee Submission, 2023
Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models that are widely used in educational and psychological measurement. A key component of CDMs is the Q-matrix characterizing the dependence structure between the items and the latent attributes. Additionally, researchers also assume in many applications certain…
Descriptors: Psychological Evaluation, Clinical Diagnosis, Item Analysis, Algorithms
Tianci Liu; Chun Wang; Gongjun Xu – Grantee Submission, 2022
Multidimensional Item Response Theory (MIRT) is widely used in educational and psychological assessment and evaluation. With the increasing size of modern assessment data, many existing estimation methods become computationally demanding and hence they are not scalable to big data, especially for the multidimensional three-parameter and…
Descriptors: Item Response Theory, Computation, Monte Carlo Methods, Algorithms
Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory