person_estimates function

Person Estimates with MLE and WLE

Computes Person estimates with maximum likelihood estimation (MLE) and weighted likelihood estimation (WLE) for raw scores 0 to m.

person_estimates(object, properties = F, allperson = F)

Arguments

• object: An object of class "Rm", a fitted Rasch model or partial credit model using the functions RM or PCM in package eRm, or an object of class "raschmodel" or "pcmodel", a fitted Rasch model or partial credit model using the functions raschmodel or pcmodel in package psychotools.
• properties: If TRUE additional properties of the estimates are given (see below).
• allperson: If TRUE person estimates (MLE and WLE) for all persons in the data set are delivered.

Returns

If properties = False a matrix containing: - Raw score: raw score

• MLE: MLE of person parameters

• WLE: WLE of person parameters

If properties = TRUE a list with two components, one for MLE and the other for WLE. Each component contains: - Raw score: raw score

• MLE or WLE: person estimates

• SEM: standard error of measurement

• Bias: bias

• RMSE: root mean square error

• Score.SEM: score sem

Examples

rm.mod <- RM(amts[,4:13])
person_estimates(rm.mod)

References

Christensen, K. B. , Kreiner, S. & Mesbah, M. (Eds.) Rasch Models in Health. Iste and Wiley (2013), pp. 63 - 70.

Author(s)

Marianne Mueller