Get Item Fit Statistics

Returns a data frame of item fit statistics, difficulty parameters, and the proportion of pro-environmental responses for each REBL item from an eRm Rasch model. Item fit statistics help assess how well individual items conform to the Rasch model expectations.

Usage

get_item_fits(model, df, rebl_items)

Arguments

model

A fitted eRm Rasch model object (class "eRm")

df

A data frame containing the survey data with REBL items

rebl_items

A character vector of column names corresponding to REBL items in df

Value

A data frame containing:

rebl_item

Character. REBL item names

prop_peb

Numeric. Proportion of pro-environmental responses (0-1)

i.fit

Numeric. Infit statistics from eRm::itemfit()

i.outfitMSQ

Numeric. Outfit mean square statistics

eta

Numeric. Item difficulty parameters

eta_se

Numeric. Standard errors of difficulty parameters

See also

get_rasch_model(), get_person_fits()

Examples

if (FALSE) { # \dontrun{
  # Create sample REBL data
  df <- data.frame(
    id = 1:100,
    rebl_1 = sample(0:1, 100, replace = TRUE),
    rebl_2 = sample(0:1, 100, replace = TRUE),
    rebl_3 = sample(0:1, 100, replace = TRUE)
  )
  rebl_items <- c("rebl_1", "rebl_2", "rebl_3")

  # Fit Rasch model
  model <- get_rasch_model(df, "id", rebl_items, type = "cml")

  # Get item fit statistics
  item_fits <- get_item_fits(model, df, rebl_items)
  print(item_fits)
} # }