Bootstrapped standard errors of effect size estimates

Bootstrapped Standard Errors

lca_se(
  pre_test = NULL,
  post_test = NULL,
  n_resamples = 100,
  seed = NULL,
  na_as = c("dk", "missing"),
  missing_action = c("omit", "error")
)

Arguments

pre_test

data.frame carrying pre_test items

post_test

data.frame carrying post-test items

n_resamples

number of resamples, default is 100

seed

Optional integer seed. When `NULL`, resampling uses the current random-number-generator state.

na_as

Classification of NA responses: `"dk"` (the default) treats them as observed don't know responses; `"missing"` treats them as structural missingness.

missing_action

How to handle structural missingness: `"omit"` excludes incomplete pairs and `"error"` rejects them.

Value

list with:

parameter_standard_error

standard errors of parameters by item

mean_learning

mean learning estimates

learning_standard_error

standard error of learning by item

Examples

pre_test <- data.frame(item1 = c(1, 0, 0, 1, 0), item2 = c(1, NA, 0, 1, 0))
post_test <- data.frame(
  item1 = pre_test[, 1] + c(0, 1, 1, 0, 0),
  item2 = pre_test[, 2] + c(0, 1, 0, 0, 1)
)
if (FALSE) { # \dontrun{
lca_se(pre_test, post_test, n_resamples = 10, seed = 123)
} # }