Audit basic plausibility of dichotomous item parameters
Usage
eyeprocess_irt_parameter_plausibility_audit(
items,
discrimination = c(0.2, 4),
difficulty = c(-6, 6),
lower_asymptote = c(0, 0.5),
upper_asymptote = c(0.5, 1)
)
Arguments
- items
Item-parameter data frame or item collection.
- discrimination
Discrimination vector or matrix.
- difficulty
Item difficulty or location parameter.
- lower_asymptote
Lower-asymptote parameter values.
- upper_asymptote
Upper-asymptote parameter values.
Value
A data frame containing basic plausibility of dichotomous item parameters. Rows represent the analysis units and columns contain the identifiers, estimates, or diagnostics defined by the function.
