Calculate1plProb: Calculates the item success probability under the 1PL model.
In DFIT: Differential Functioning of Items and Tests
Description
Usage
Arguments
Value
Author(s)
References
Description
Calculates the item success probability under the 1PL model.
Usage
1
Calculate1plProb(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 vector or column matrix containing the numeric values of item difficulties
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
DFIT documentation built on Aug. 17, 2021, 9:07 a.m.
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Description Usage Arguments Value Author(s) References
Description
Calculates the item success probability under the 1PL model.
Usage
1 | Calculate1plProb(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 vector or column matrix containing the numeric values of item difficulties |
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
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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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