Calculate2plProb: Calculates the item success probability under the 2PL model.
In herulor/DFIT: Differential Functioning of Items and Tests
Calculate2plProb R Documentation
Calculates the item success probability under the 2PL model.
Description
Calculates the item success probability under the 2PL model.
Usage
Calculate2plProb(thetaValue, itemParameters, logistic = TRUE)
Arguments
thetaValue
A numeric value or array for the theta (ability) value(s) where the difference will be calculated
itemParameters
A matrix containing the numeric values of item discriminations on the first column and item difficulties on the second
logistic
A logical value stating if the IRT model will use the logistic or the normal metric.
Value
probabilities A numeric matrix with the probabilities on each thetaValue for each item.
Author(s)
Victor H. Cervantes <vhcervantesb at unal.edu.co>
References
de Ayala, R. J., (2009). The theory and practice of item response theory. New York: The Guildford Press
herulor/DFIT documentation built on June 25, 2024, 8:23 a.m.
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| Calculate2plProb | R Documentation |
Calculates the item success probability under the 2PL model.
Description
Calculates the item success probability under the 2PL model.
Usage
Calculate2plProb(thetaValue, itemParameters, logistic = TRUE)
Arguments
thetaValue |
A numeric value or array for the theta (ability) value(s) where the difference will be calculated |
itemParameters |
A matrix containing the numeric values of item discriminations on the first column and item difficulties on the second |
logistic |
A logical value stating if the IRT model will use the logistic or the normal metric. |
Value
probabilities A numeric matrix with the probabilities on each thetaValue for each item.
Author(s)
Victor H. Cervantes <vhcervantesb at unal.edu.co>
References
de Ayala, R. J., (2009). The theory and practice of item response theory. New York: The Guildford Press
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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