Add person scores to the response data

Usage

# S3 method for class 'SingleGroupClass'
augment(x, data = NULL, method = "EAP", person_fit = FALSE, ...)

Arguments

x: a model returned by mirt::mirt().
data: optional data frame to bind the scores to. Defaults to the response data used to fit the model.
method: scoring method passed to mirt::fscores() (e.g. "EAP", "MAP", "ML", "WLE").
person_fit: logical; add the standardized log-likelihood person-fit statistic Zh.
...: further arguments passed to mirt::fscores().

Value

A tibble with the data plus .F1 (one column per factor), .se_F1, and optionally .Zh.

Examples

mod <- mirt(expand.table(LSAT7), 1, verbose = FALSE)
head(augment(mod))
#> # A tibble: 6 × 7
#>   Item.1 Item.2 Item.3 Item.4 Item.5   .F1 .se_F1
#>    <int>  <int>  <int>  <int>  <int> <dbl>  <dbl>
#> 1      0      0      0      0      0 -1.87  0.693
#> 2      0      0      0      0      0 -1.87  0.693
#> 3      0      0      0      0      0 -1.87  0.693
#> 4      0      0      0      0      0 -1.87  0.693
#> 5      0      0      0      0      0 -1.87  0.693
#> 6      0      0      0      0      0 -1.87  0.693