test_itemfit | R Documentation |
checks the itemfit indices of a rasch model using the itemfit() function of eRm.
test_itemfit(
items = NULL,
dset = NULL,
na.rm = TRUE,
control,
modelType = NULL,
model = NULL,
p.par = NULL,
alpha = 0.1,
bonf = FALSE,
estimation_param = NULL
)
items |
a numeric vector containing the index numbers of the items in dset that are used to fit the model |
dset |
a data.frame containing the data |
na.rm |
a boolean value. If TRUE, all cases with any NA are removed (na.omit). If FALSE, only cases with full NA responses are removed |
control |
list object with options from itemfit_control |
modelType |
a character value defining the rasch model to fit. Possible values: "RM", "PCM", "RSM". |
model |
on object of a fit Rasch model, estimated with the packages 'eRm' (classes 'RM', 'PCM' or 'RSM'), 'psychotools' (classes raschmodel, 'pcmodel' or 'rsmodel') or 'pairwise' (class 'pers'), matching the value of modelType. If 'model' is provided, this model is used. If NULL, a model is fit using 'dset' and 'items'. |
p.par |
a person parameter object matching the class of 'model'. If NULL, the person parameters will be estimated. |
alpha |
a numeric value for the alpha level. Will be ignored if use.pval is FALSE |
bonf |
a boolean value whether to use a Bonferroni correction. Will be ignored if use.pval is FALSE |
estimation_param |
options for parameter estimation using estimation_control |
if all fit indices meet the given criteria, a list containing 3 elements is returned: the item combination that was tested, a list of the class the model was estimated with (depending on modelType and estimation_param$est) with the fit model and a list with a person parameter object (depending on estimation_param$est). If at least one item's fit indices do not meet the given criteria, NULL is returned.
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