score.mlteqc {equateMultiple} | R Documentation |
Scoring of multiple forms
Description
Relates number-correct scores on multiple forms.
Usage
## S3 method for class 'mlteqc'
score(obj, method="TSE", D=1, scores=NULL, se=TRUE, nq=30,
w=0.5, theta=NULL, weights=NULL, ...)
Arguments
obj |
object of the class |
method |
the scoring method to be used. This should be one of " |
D |
constant D of the IRT model used to estimate item parameters. |
scores |
integer values to be converted. |
se |
logical; is |
nq |
number of quadrature points used to approximate integrals with observed score equating.
Used only if arguments |
w |
synthetic weight for population 1. It should be a number between 0 and 1. |
theta |
vector of ability values used to approximate integrals with observed score equating. |
weights |
vector of weights used to approximate integrals with observed score equating. |
... |
further arguments passed to or from other methods. |
Details
In this function common items are internal, i.e. they are used for scoring the test.
Value
A data frame containing theta values (only for true score equating), scores of the form chosen as base, equated scores of all other forms, and standard errors of equated scores.
Author(s)
Michela Battauz
References
Kolen, M.J. and Brennan, R.L. (2014). Test equating, scaling, and linking: methods and practices, 3nd ed., New York: Springer.
Ogasawara, H. (2001). Item response theory true score equatings and their standard errors. Journal of Educational and Behavioral Statistics, 26, 31–50.
Ogasawara, H. (2003). Asymptotic standard errors of IRT observed-score equating methods. Psychometrika, 68, 193–211.
See Also
Examples
data(est2pl)
# prepare the data
mods <- modIRT(coef = est2pl$coef, var = est2pl$var, display = FALSE)
# Estimation of the equating coefficients with the multiple item response function method
eqIRF<-multiec(mods = mods, base = 1, method = "irf")
summary(eqIRF)
# scoring using the true score equating method
score(eqIRF)
# scoring using observed score equating method, without standard errors
score(eqIRF, method = "OSE", se = FALSE)