Bootstrapped standard errors of effect size estimates

Bootstrapped Standard Errors

lca_se(
  pre_test = NULL,
  pst_test = NULL,
  n_resamples = 100,
  seed = 31415,
  force9 = FALSE,
  na_as = c("dk", "missing"),
  missing_action = c("omit", "error")
)

Arguments

pre_test

data.frame carrying pre_test items

pst_test

data.frame carrying pst_test items

n_resamples

number of resamples, default is 100

seed

random seed, default is 31415

force9

Optional. Force 9-column format even if no DK responses. Default is FALSE.

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:

se_params

standard errors of parameters by item

avg_effects

mean learning estimates

se_effects

standard error of learning by item

Examples

pre_test <- data.frame(pre_item1 = c(1, 0, 0, 1, 0), pre_item2 = c(1, NA, 0, 1, 0))
pst_test <- data.frame(
  pst_item1 = pre_test[, 1] + c(0, 1, 1, 0, 0),
  pst_item2 = pre_test[, 2] + c(0, 1, 0, 0, 1)
)
if (FALSE) { # \dontrun{
lca_se(pre_test, pst_test, n_resamples = 10, seed = 31415)
} # }