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Applied Psychological Measurement
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Development and Calibration of an Item Response Model That Incorporates Response Time

Tianyou Wang

University of Iowa

Bradley A. Hanson

CTB/McGraw-Hill

This article proposes an item response model that incorporates response time. A parameter estimation procedure using the EM algorithm is developed. The procedure is evaluated with both real and simulated test data. The results suggest that the estimation procedure works well in estimating model parameters. By using response time data, estimation of person ability parameters can be improved. Potential applications of this model are discussed. Directions for further study are suggested.

Key Words: item response theory (IRT) • response time modeling • parameter estimation • EM algorithm

Applied Psychological Measurement, Vol. 29, No. 5, 323-339 (2005)
DOI: 10.1177/0146621605275984


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