Add to ORKGThis paper proposed an item response model that incorporates response time. A parameter estimation procedure using the EM algorithm was developed. The procedure was programmed and evaluated with both real and simulated test data. The results suggest the estimation procedure works well in estimating model parameters. By utilizing response time data, estimation of person ability parameters can be improved. Potential applications of this model are discussed. Directions for further study are suggested
peer reviewedMany item response theory models were proposed to estimate ability levels of test taker...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
Using simulated item response data, the performance of several "robust " and conventional ...
This article proposes an item response model that incorporates response time. A parameter estimation...
A lognormal model for the response times of a person on a set of test items is investigated. The mod...
Starting from an explicit scoring rule for time limit tasks incorporating both response time and acc...
Response time has become increasingly important for analyzing the relationship between the proficien...
Assesses the 3 main approaches to parameter estimation in item response theory. In this thesis, exp...
Item response theory has improved the area of educational and psychological measurement significantl...
This study explored calibrating a large item bank for use in multidimensional health measurement wit...
Bock and Aitkin (1981) developed an EM algorithm for the maximum marginal likelihood estimation of p...
An item response theory (IRT) model is used as a measurement error model for the dependent variable ...
Hierarchical modeling of responses and response times on test items facilitates the use of response ...
Potential solutions to applied measurement problems are commonly evaluated using simulated data, lar...
Inferences on ability in item response theory (IRT) have been mainly based on item responses while r...
peer reviewedMany item response theory models were proposed to estimate ability levels of test taker...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
Using simulated item response data, the performance of several "robust " and conventional ...
This article proposes an item response model that incorporates response time. A parameter estimation...
A lognormal model for the response times of a person on a set of test items is investigated. The mod...
Starting from an explicit scoring rule for time limit tasks incorporating both response time and acc...
Response time has become increasingly important for analyzing the relationship between the proficien...
Assesses the 3 main approaches to parameter estimation in item response theory. In this thesis, exp...
Item response theory has improved the area of educational and psychological measurement significantl...
This study explored calibrating a large item bank for use in multidimensional health measurement wit...
Bock and Aitkin (1981) developed an EM algorithm for the maximum marginal likelihood estimation of p...
An item response theory (IRT) model is used as a measurement error model for the dependent variable ...
Hierarchical modeling of responses and response times on test items facilitates the use of response ...
Potential solutions to applied measurement problems are commonly evaluated using simulated data, lar...
Inferences on ability in item response theory (IRT) have been mainly based on item responses while r...
peer reviewedMany item response theory models were proposed to estimate ability levels of test taker...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
Using simulated item response data, the performance of several "robust " and conventional ...