psychotools (version 0.4-2)

threshpar: Extract Threshold Parameters of Item Response Models

Description

A class and generic function for representing and extracting the item threshold parameters of a given item response model.

Usage

threshpar(object, …)
  # S3 method for raschmodel
threshpar(object, type = c("mode", "median",
  "mean"), ref = NULL, alias = TRUE, relative = FALSE,
   cumulative = FALSE, vcov = TRUE, …)
  # S3 method for rsmodel
threshpar(object, type = c("mode", "median",
  "mean"), ref = NULL, alias = TRUE, relative = FALSE,
   cumulative = FALSE, vcov = TRUE, …)
  # S3 method for pcmodel
threshpar(object, type = c("mode", "median",
   "mean"), ref = NULL, alias = TRUE, relative = FALSE,
   cumulative = FALSE, vcov = TRUE, …)

Arguments

object

a fitted model object whose threshold parameters should be extracted.

type

character of length one which determines the type of threshold parameters to return (see details below).

ref

a vector of labels or position indices of (relative) threshold parameters or a contrast matrix which should be used as restriction/for normalization. For partial credit models, argument ref can also be a list of m contrasts. If NULL (the default), the relative threshold parameters are centered around their item-specific means and the absolute threshold parameters are centered around their global mean.

alias

logical. If TRUE (the default), the aliased parameter is included in the return vector (and in the variance-covariance matrix if vcov = TRUE). If FALSE, it is removed. If the restriction given in ref depends on several parameters, the first parameter of the restriction specified is (arbitrarily) chosen to be removed if alias is FALSE.

relative

logical. If set to FALSE (default), absolute item threshold parameters are returned. If set to TRUE, relative item threshold parameters with the contrast specified in argument ref are returned.

cumulative

logical. If set to TRUE, cumulative threshold parameters are returned. These correspond to the cumulative sum over the absolute or relative item threshold parameters (after the restriction given in argument ref has been applied).

vcov

logical. If TRUE (the default), the (transformed) variance-covariance matrix of the (relative) threshold parameters is attached as attribute vcov.. If FALSE, a NA-matrix is attached.

…

further arguments which are currently not used.

Value

A named list with item threshold parameters of class threshpar and additional attributes model (the model name), type (the type of item threshold parameters returned, see details above), ref (the items or parameters used as restriction/for normalization), relative (whether relative or absolute item threshold parameters are returned), cumulative (whether the cumulative item threshold parameters are returned), alias (either FALSE or a named character vector or list with the removed aliased parameters), and vcov (the estimated and adjusted variance-covariance matrix).

Details

threshpar is both, a class to represent threshold parameters of item response models as well as a generic function. The generic function can be used to extract the threshold parameters of a given item response model.

For objects of class threshpar, methods to standard generic functions print and coef can be used to print and extract the threshold parameters.

Depending on argument type, different item threshold parameters are returned. For type = "mode", the returned item threshold parameters correspond to the location on the theta axis where the probability of category \(k\) equals the probability of category \(k-1\). For Rasch and partial credit models, item threshold parameters of this type correspond directly to the estimated absolute item threshold parameters of these models. For type = "median", the returned item threshold parameters correspond to the location on the theta axis where the probability of choosing category \(k\) or higher, i.e., \(P(X_{ij} >= k)\), equals 0.5. For type = "mean", the returned absolute item threshold parameters correspond to the location on the theta axis where the expected category response is in the middle between two categories, i.e. 0.5, 1.5, …. An illustration of these threshold parameters can be found on page 104 in Masters & Wright (1995).

References

Masters GN, Wright BD (1997). The Partial Credit Model. In Van der Linden WJ, Hambleton RK (eds.). Handbook of Modern Item Response Theory.

See Also

itempar, personpar, and discrpar

Examples

# NOT RUN {
o <- options(digits = 4)

## load verbal aggression data
data("VerbalAggression", package = "psychotools")

## fit a rasch model to dichotomized verbal aggression data
raschmod <- raschmodel(VerbalAggression$resp2)

## extract threshold parameters with sum zero restriction
tr <- threshpar(raschmod)
tr

## compare to item parameters (again with sum zero restriction)
ip <- itempar(raschmod)
ip

all.equal(coef(tr), coef(ip))

## rating scale model example
rsmod <- rsmodel(VerbalAggression$resp)
trmod <- threshpar(rsmod, type = "mode")
trmed <- threshpar(rsmod, type = "median")
trmn <- threshpar(rsmod, type = "mean")

## compare different types of threshold parameters
cbind("Mode" = coef(trmod, type = "vector"),
 "Median" = coef(trmod, type = "vector"),
 "Mean" = coef(trmn, type = "vector"))

options(digits = o$digits)
# }