Publication Date
| In 2025 | 0 |
| Since 2024 | 3 |
| Since 2021 (last 5 years) | 4 |
| Since 2016 (last 10 years) | 4 |
| Since 2006 (last 20 years) | 4 |
Descriptor
Author
| Gongjun Xu | 3 |
| Jia Liu | 2 |
| Ningzhong Shi | 2 |
| Wei Gao | 2 |
| Xiangbin Meng | 2 |
| Anil, Duygu | 1 |
| Burston, Jack | 1 |
| Buyukatak, Emrah | 1 |
| Chengyu Cui | 1 |
| Chun Wang | 1 |
| Monville-Burston, Monique | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 4 |
| Journal Articles | 3 |
| Reports - Descriptive | 1 |
Education Level
| Secondary Education | 3 |
| Elementary Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 3 |
| Big Five Inventory | 1 |
| Trends in International… | 1 |
What Works Clearinghouse Rating
Direct linkJia Liu; Xiangbin Meng; Gongjun Xu; Wei Gao; Ningzhong Shi – Grantee Submission, 2024
In this paper, we develop a mixed stochastic approximation expectation-maximization (MSAEM) algorithm coupled with a Gibbs sampler to compute the marginalized maximum a posteriori estimate (MMAPE) of a confirmatory multidimensional four-parameter normal ogive (M4PNO) model. The proposed MSAEM algorithm not only has the computational advantages of…
Descriptors: Algorithms, Achievement Tests, International Assessment, Foreign Countries
Jia Liu; Xiangbin Meng; Gongjun Xu; Wei Gao; Ningzhong Shi – Journal of Educational Measurement, 2024
In this paper, we develop a mixed stochastic approximation expectation-maximization (MSAEM) algorithm coupled with a Gibbs sampler to compute the marginalized maximum a posteriori estimate (MMAPE) of a confirmatory multidimensional four-parameter normal ogive (M4PNO) model. The proposed MSAEM algorithm not only has the computational advantages of…
Descriptors: Algorithms, Achievement Tests, Foreign Countries, International Assessment
Download full textBuyukatak, Emrah; Anil, Duygu – International Journal of Assessment Tools in Education, 2022
The purpose of this research was to determine classification accuracy of the factors affecting the success of students' reading skills based on PISA 2018 data by using Artificial Neural Networks, Decision Trees, K-Nearest Neighbor, and Naive Bayes data mining classification methods and to examine the general characteristics of success groups. In…
Descriptors: Classification, Accuracy, Reading Tests, Achievement Tests
Chengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
Peer reviewedBurston, Jack; Monville-Burston, Monique – CALICO Journal, 1995
Describes the academic context in which the "French CAT" was created and trialed and gives a detailed consideration of the test presentation platform and operating algorithms. Finally, the article evaluates the first administration of the test and discusses its reliability and validity as a placement instrument for first-year Australian…
Descriptors: Achievement Tests, Algorithms, College Students, Computer Assisted Testing
