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Can Shao

Biographic Data

ID9251422
NAMECan Shao
GIVEN NAMESCan
FAMILY NAMEShao
SIGNATURESHAO C
AFFILIATIONSUniversity of Notre Dame, Notre Dame, IN, USA
ORCID0000-0002-4528-6714
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Application of Change Point Analysis of Response Time Data to Detect Test Speededness

    Open Access•Ying Cheng, Can Shao•ARTICLE•Educational and Psychological…•2022

    Computer-based and web-based testing have become increasingly popular in recent years. Their popularity has dramatically expanded the availability of response time data. Compared to the conventional item response data that are often dichotomous or polytomous, response time has the advantage of being continuous and can be collected in an unobstrusive manner. It therefore has great potential to improve many measurement activities. In this paper, we…

  • The Mediated MIMIC Model for Understanding the Underlying Mechanism of DIF

    Open Access•Ying Cheng, Can Shao et al.•ARTICLE•Educational and Psychological…•2016

    Due to its flexibility, the multiple-indicator, multiple-causes (MIMIC) model has become an increasingly popular method for the detection of differential item functioning (DIF). In this article, we propose the mediated MIMIC model method to uncover the underlying mechanism of DIF. This method extends the usual MIMIC model by including one variable or multiple variables that may completely or partially mediate the DIF effect. If complete mediation…

  • A -Stratified Computerized Adaptive Testing in the Presence of Calibration Error

    Open Access•Ying Cheng, Jeffrey M Patton et al.•ARTICLE•Educational and Psychological…•2015

    a-Stratified computerized adaptive testing with b-blocking (AST), as an alternative to the widely used maximum Fisher information (MFI) item selection method, can effectively balance item pool usage while providing accurate latent trait estimates in computerized adaptive testing (CAT). However, previous comparisons of these methods have treated item parameter estimates as if they are the true population parameter values. Consequently, capitalizat…

No prominent works on this page.

  • A -Stratified Computerized Adaptive Testing in the Presence of Calibration Error

    Open Access•Ying Cheng, Jeffrey M Patton et al.•ARTICLE•Educational and Psychological…•2015

    a-Stratified computerized adaptive testing with b-blocking (AST), as an alternative to the widely used maximum Fisher information (MFI) item selection method, can effectively balance item pool usage while providing accurate latent trait estimates in computerized adaptive testing (CAT). However, previous comparisons of these methods have treated item parameter estimates as if they are the true population parameter values. Consequently, capitalizat…

  • The Mediated MIMIC Model for Understanding the Underlying Mechanism of DIF

    Open Access•Ying Cheng, Can Shao et al.•ARTICLE•Educational and Psychological…•2016

    Due to its flexibility, the multiple-indicator, multiple-causes (MIMIC) model has become an increasingly popular method for the detection of differential item functioning (DIF). In this article, we propose the mediated MIMIC model method to uncover the underlying mechanism of DIF. This method extends the usual MIMIC model by including one variable or multiple variables that may completely or partially mediate the DIF effect. If complete mediation…

  • Application of Change Point Analysis of Response Time Data to Detect Test Speededness

    Open Access•Ying Cheng, Can Shao•ARTICLE•Educational and Psychological…•2022

    Computer-based and web-based testing have become increasingly popular in recent years. Their popularity has dramatically expanded the availability of response time data. Compared to the conventional item response data that are often dichotomous or polytomous, response time has the advantage of being continuous and can be collected in an unobstrusive manner. It therefore has great potential to improve many measurement activities. In this paper, we…

Advanced Statistical Modeling Techniques (3 works) · Computer Science (3 works) · Econometrics (3 works) · Item response theory (3 works) · Mathematics (3 works) · Psychometric Methodologies and Testing (3 works) · Psychometrics (3 works) · Statistics (3 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)

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