Fit a Rasch model to REBL items using the eRm package. This creates a Rasch model object that can be used to calculate person parameters (REBL scores) and item parameters.
Usage
get_rasch_model(
df,
id,
rebl_items,
type = c("cml", "mml_constrained", "mml_con", "mml_unconstrained", "mml_uncon", "2pl",
"tpm")
)Arguments
- df
A dataframe containing the REBL items and participant IDs
- id
A character string specifying the column name containing participant IDs
- rebl_items
A character vector of REBL item column names to include in the model. Get this with
id_rebl_items()if you don't have it handy.- type
A string.
cml= conditional maximum likelihood,mml_con= constrained maximum marginal likelihood,mml_uncon= unconstrained maximum marginal likelihoood,tpl= two parameter logistic model,tpm= three parameter logistic model. See details for more info.
Value
An eRm Rasch model object that can be passed to other functions like
get_rebl_scores()
Examples
if (FALSE) { # \dontrun{
# Get REBL items
rebl_items <- id_rebl_items(raw_example, '^(?!res).*')
# Fit Rasch model
model <- get_rasch_model(raw_example, "id", rebl_items)
} # }