You are here

Modeling the Joint Distribution of Response Accuracy and Response Time

Title: Modeling the Joint Distribution of Response Accuracy and Response Time.
Name(s): Ingrisone, James N., 1960-, author
Becker, Betsy Jane, professor co-directing dissertation
Song, Kai-Sheng, professor co-directing dissertation
Huffer, Fred W., outside committee member
Kamata, Akihito, committee member
Department of Educational Psychology and Learning Systems, degree granting department
Florida State University, degree granting institution
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2008
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Making use of the observable response time data now available due to computerized testing offers exciting opportunities for the theory and practice of educational measurement. This study extends item response theory by developing a model that incorporates response time data into an IRT inspired model. A joint distribution is used to simultaneously model response accuracy and response time. The conditional distribution incorporates response time into a one parameter logistic model. The marginal distribution of response time uses a two-parameter Weibull distribution. Three simulation studies are conducted to evaluate the accuracy of the estimation techniques. Item difficulty parameters are estimated using marginal maximum likelihood (MML). Maximum a posteriori (MAP) estimation is used to estimate the latent ability and latent person speed parameters. The simulation studies illustrate that the estimation procedures recovered the item and person parameters quite well.
Identifier: FSU_migr_etd-3867 (IID)
Submitted Note: A Dissertation submitted to the Department of Educational Psychology and Learning Systems in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Degree Awarded: Fall Semester, 2008.
Date of Defense: October 24, 2008.
Keywords: Item Response Theory, Response Time, Marginal Maximum Likelihood, Maximum a Posteriori, Weibull Distribution, Joint Distribution
Bibliography Note: Includes bibliographical references.
Advisory Committee: Betsy Jane Becker, Professor Co-Directing Dissertation; Kai-Sheng Song, Professor Co-Directing Dissertation; Fred W. Huffer, Outside Committee Member; Akihito Kamata, Committee Member.
Subject(s): Educational psychology
Persistent Link to This Record:
Owner Institution: FSU

Choose the citation style.
Ingrisone, J. N. (2008). Modeling the Joint Distribution of Response Accuracy and Response Time. Retrieved from