Conference Objects and Reports

Modeling the Sequential Response Time with Item Position and Total Time Limits

Chen, Yi; Yang, Yi; Lee, Young-sum

We presented a general framework for modeling sequential response time (RT) in this research. This framework extends the traditional treatment of RT by considering the truncation of the response distribution and item position effects. These two approaches get a more accurate representation of RT generation. Both the simulation research and the analysis of real data are carried out using a completely Bayesian methodology based on the Markov Chain Monte Carlo (MCMC) technique.

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More About This Work

Academic Units
Human Development
Published Here
June 14, 2022

Notes

National Council on Measurement in Education (NCME), 2022