Sheng-Yun Huang
Biographic Data
| ID | 8867586 |
|---|---|
| NAME | Sheng-Yun Huang |
| GIVEN NAMES | Sheng-Yun |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG S |
| AFFILIATIONS | Assessment Research Centre, The Education University of Hong Kong |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
An Iterative Scale Purification Procedure on l z for the Detection of Aberrant Responses
Many person-fit statistics have been proposed to detect aberrant response behaviors (e.g., cheating, guessing). Among them, lz is one of the most widely used indices. The computation of lz assumes the item and person parameters are known. In reality, they often have to be estimated from data. The better the estimation, the better lz will perform. When aberrant behaviors occur, the person and item parameter estimations are inaccurate, which in tur…
Computerized Classification Testing Under the One-Parameter Logistic Response Model With Ability-Based Guessing
The one-parameter logistic model with ability-based guessing (1PL-AG) has been recently developed to account for effect of ability on guessing behavior in multiple-choice items. In this study, the authors developed algorithms for computerized classification testing under the 1PL-AG and conducted a series of simulations to evaluate their performances. Four item selection methods (the Fisher information, the Fisher information with a posterior dist…
No prominent works on this page.
Computerized Classification Testing Under the One-Parameter Logistic Response Model With Ability-Based Guessing
The one-parameter logistic model with ability-based guessing (1PL-AG) has been recently developed to account for effect of ability on guessing behavior in multiple-choice items. In this study, the authors developed algorithms for computerized classification testing under the 1PL-AG and conducted a series of simulations to evaluate their performances. Four item selection methods (the Fisher information, the Fisher information with a posterior dist…
An Iterative Scale Purification Procedure on l z for the Detection of Aberrant Responses
Many person-fit statistics have been proposed to detect aberrant response behaviors (e.g., cheating, guessing). Among them, lz is one of the most widely used indices. The computation of lz assumes the item and person parameters are known. In reality, they often have to be estimated from data. The better the estimation, the better lz will perform. When aberrant behaviors occur, the person and item parameter estimations are inaccurate, which in tur…
Advanced Statistical Modeling Techniques (2 works) · Computer Science (2 works) · Item response theory (2 works) · Mathematics (2 works) · Psychometric Methodologies and Testing (2 works) · Psychometrics (2 works) · Statistics (2 works) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)