Items are sorted by item average location. Confidence intervals are 84% by
default to enable visual interpretation of statistically significant
differences (Payton et al., 2003). The CI can be changed using the
sem_multiplier option (ie. use 1.96 for 95% CI).
Usage
RIitemHierarchy(dfin, numbers = TRUE, sem_multiplier = 1.405)
Arguments
- dfin
Dataframe with item data only
- numbers
Display text in figure with item threshold locations
- sem_multiplier
For confidence intervals displayed in figure
Details
Only works with partial credit models currently. For dichotomous data, use
df.erm <- RM(data) followed by plotPImap(df.erm, sorted = T)