Robust Estimation for Response Time Modeling

Author(s):  
Maxwell Hong ◽  
Daniella A. Rebouças ◽  
Ying Cheng
2021 ◽  
Author(s):  
Yiqin Pan ◽  
Edison M. Choe

Most psychometric models of response times are primarily theory-driven, meaning they are based on various sets of assumptions about how the data should behave. Although useful in certain contexts, such models are often inadequate for the complexities of realistic testing situations and display a poor fit on empirical data. Therefore, as a functional alternative, the present study proposes a data-driven approach, an autoencoder-based response time model, to modeling response times of correctly answered responses. Also, this study introduces the application of the proposed model in anomaly detection (including aberrant examinee and item detection). The result shows this model has an acceptable performance in both response time modeling and anomaly detection.


AIChE Journal ◽  
2016 ◽  
Vol 62 (9) ◽  
pp. 3461-3472 ◽  
Author(s):  
Ian H. Moskowitz ◽  
Warren D. Seider ◽  
Jeffrey E. Arbogast ◽  
Ulku G. Oktem ◽  
Ankur Pariyani ◽  
...  

2014 ◽  
Vol 39 (6) ◽  
pp. 426-451 ◽  
Author(s):  
Sukaesi Marianti ◽  
Jean-Paul Fox ◽  
Marianna Avetisyan ◽  
Bernard P. Veldkamp ◽  
Jesper Tijmstra

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