lca_adj: Person Level Adjustment

In guess: Adjust Estimates of Learning for Guessing

Person Level Adjustment

Description

Adjusts observed 1s based on item level parameters of the LCA model. Currently only takes data with Don't Know. And treats don't know responses as true confessions on ignorance. By default, NAs are treated as acknowledgments of ignorance.

Usage

lca_adj(
  pre = NULL,
  pst = NULL,
  na_as = c("dk", "missing"),
  missing_action = c("omit", "error")
)

Arguments

pre	pre data frame
pst	pst data frame
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 it and '"error"' rejects it.

Value

list of pre and post adjusted responses

Examples

pre_test_var <- data.frame(pre = c(1, 0, 0, 1, "d", "d", 0, 1, NA))
pst_test_var <- data.frame(pst = c(1, NA, 1, "d", 1, 0, 1, 1, "d"))
lca_adj(pre_test_var, pst_test_var)

guess documentation built on Aug. 3, 2026, 9:07 a.m.