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Sheng-Yun Huang

Dados Biográficos

ID8867586
NOMESheng-Yun Huang
PRENOMESSheng-Yun
SOBRENOMEHuang
ASSINATURAHUANG S
AFILIAÇÕESAssessment Research Centre, The Education University of Hong Kong
VERIFICADONão
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR2
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2011
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • An Iterative Scale Purification Procedure on l z for the Detection of Aberrant Responses

    Open Access•Xuelan Qiu, Shengyun Huang et al.•ARTICLE•Multivariate Behavioral Research•2024

    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

    Open Access•Wen-Chung Wang, Wen‐chung Wang et al.•ARTICLE•Educational and Psychological…•2011

    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…

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  • Computerized Classification Testing Under the One-Parameter Logistic Response Model With Ability-Based Guessing

    Open Access•Wen-Chung Wang, Wen‐chung Wang et al.•ARTICLE•Educational and Psychological…•2011

    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

    Open Access•Xuelan Qiu, Shengyun Huang et al.•ARTICLE•Multivariate Behavioral Research•2024

    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 obras) · Computer Science (2 obras) · Item response theory (2 obras) · Mathematics (2 obras) · Psychometric Methodologies and Testing (2 obras) · Psychometrics (2 obras) · Statistics (2 obras) · Algorithm (1 obra) · Artificial Intelligence (1 obra) · Artificial Intelligence (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae