Computes MAP or EAP factor scores for mirt and bfactor models. Note that only the general factor scores are computed for bifactor models.
Usage
fscores(object, ...)
## S3 method for class 'mirt':
fscores(object, full.scores = FALSE,
method = "EAP", ...)
## S3 method for class 'bfactor':
fscores(object, full.scores = FALSE,
method = "EAP", ...)
Arguments
object
a model of class mirt or bfactor
full.scores
if FALSE (default) then a summary table with factor scores for each unique pattern is displayed. Otherwise the original data matrix is returned with the computed factor scores
method
type of factor score estimation method. Can be expected a-posteriori ("EAP") or Bayes modal ("MAP")
...
additional arguments to be passed
Value
returns either a summary table with the response patterns and expected factor scores, or a complete data matrix with factor scores appended to the last column.