Premium
Robust Estimation for Response Time Modeling
Author(s) -
Hong Maxwell,
Rebouças Daniella A.,
Cheng Ying
Publication year - 2020
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/jedm.12286
Subject(s) - weighting , respondent , response time , estimation , computer science , item response theory , statistics , econometrics , mathematics , engineering , medicine , computer graphics (images) , political science , law , systems engineering , radiology
Response time has started to play an increasingly important role in educational and psychological testing, which prompts many response time models to be proposed in recent years. However, response time modeling can be adversely impacted by aberrant response behavior. For example, test speededness can cause response time to certain items to deviate from the hypothesized model. In this article, we introduce a robust estimation approach when estimating a respondent's working speed under the log‐normal model by down‐weighting aberrant response times. A simulation study is carried out to compare the performance of two weighting schemes and a real data example is provided to showcase the use of the new robust estimation method. Limitations and future directions are also discussed.