eRm (version 0.9-2)

thresholds: Computation of item-category treshold parameters.

Description

This function transforms the beta parameters into threshold parameters. These can be interpreted by means of log-odds as visualized in ICC plots.

Usage

## S3 method for class 'eRm':
thresholds(object)
## S3 method for class 'threshold':
print(x, ...)
## S3 method for class 'threshold':
summary(object, ...)
## S3 method for class 'threshold':
confint(object, parm, level = 0.95, ...)

Arguments

object

Object of class eRm.

x

Object of class threshold.

parm

Parameter specification (ignored).

level

Alpha-level.

...

Further arguments to be passed to methods. They are ignored.

Value

• The function thresholds returns an object of class threshold containing:
• threshpar
  Vector with threshold parameters.
• se.thresh
  Vector with standard errors.

Details

For dichotomous models (i.e., RM and LLTM) threshold parameters are not computed. The print method returns a location parameter for each item which is the mean of the corresponding threshold parameters.

References

Andrich, D. (1978). Application of a psychometric rating model to ordered categories which are scored with successive integers. Applied Psychological Measurement, 2, 581-594.

See Also

plotICC.Rm

Examples

#Threshold parameterization for a rating scale model
data(rsmdat)
res <- RSM(rsmdat)
thres <- thresholds(res)
thres
confint(thres)
summary(thres)

#Threshold parameters for a PCM with ICC plot
data(pcmdat)
res <- PCM(pcmdat)
thres <- thresholds(res)
thres
plotICC(res)