make_guess_lik_difficulty

Factory function that creates a likelihood function parameterized with
 an unbounded difficulty score instead of gamma. Used internally by
 lca_difficulty().

internal

Provides tools to adjust estimates of learning for guessing-related
bias in educational and survey research. Implements standard guessing
correction methods and latent class models that leverage informative
pre-post test transitions to account for guessing behavior.
The package helps researchers obtain more accurate estimates of actual
learning when respondents may guess on closed-ended knowledge items.
For theoretical background and empirical validation, see Cor and Sood (2016)
<https://gsood.com/research/papers/guess.pdf>.

Gaurav Sood

guess

Adjust Estimates of Learning for Guessing

Ken Cor

make_guess_lik_difficulty function

<dl><dt>base_rate</dt>
<dd>minimum guessing probability (1/K for K-choice items)</dd></dl>

Arguments

Create difficulty-parameterized likelihood function (no DK) — make_guess_lik_difficulty

<dl>

<dt>base_rate</dt>
<dd>minimum guessing probability (1/K for K-choice items)</dd>

</dl>

make_guess_lik_difficulty: Create difficulty-parameterized likelihood function (no DK)

Description

Usage

Value

Arguments