lordif (version 0.3-3)

equate: performs Stocking-Lord Equating

Description

Computes linear transformation constants to equate a set of GRM/GPCM item parameters to a target scale using a test characteristic curve equating procedure (Stocking & Lord, 1983)

Usage

equate(ipar.to, ipar.from, theta, model = "GRM", start.AK = c(1, 0), 
  lower.AK = c(0.5, -2), upper.AK = c(2, 2))

Value

returns a vector of two elements, c(A, K) where A is a multiplicative constant and K is an additive constant

Arguments

ipar.to

a data frame containing target item parameters in the following order: a, cb1, cb2,..., cb(maxCat-1)

ipar.from

a data frame containing to-be-equated item parameters in the following order: a, cb1, cb2,..., cb(maxCat-1)

theta

a theta grid

model

IRT model, either "GRM" or "GPCM"

start.AK

a vector of starting values, c(A, K) where A is a multiplicative constant and K is an additive constant

lower.AK

a vector of lower limits, c(A, K) where A is a multiplicative constant and K is an additive constant

upper.AK

a vector of upper limits, c(A, K) where A is a multiplicative constant and K is an additive constant

Author

Seung W. Choi <[e-mail]>

Details

Computes linear transformation constants (A and K) that equate a set of item parameters (ipar.from) to the scale defined by a target item parameters (ipar.to) by minimizing the squared difference between the test characteristic curves (Stocking & Lord, 1983). The minimization is performed by the nlminb function (in stats).

References

Stocking, M. L. & Lord, F. M. (1983). Developing a Common Metric in Item Response Theory. Applied Psychological Measurement, 7(2), 201-210.

See Also

tcc

Examples

##ipar.to is a data frame containing "target" item parameters
##ipar.from is a data frame containing "to-be-equated" item parameters
if (FALSE) AK <- equate(ipar.to,ipar.from)
#AK[1] contains the multiplicative constant
#AK[2] contains the additive constant