class_conditional_item

Returns P(response | class, gamma) for each latent class.

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

class_conditional_item function

<dl><dt>pre</dt>
<dd>numeric (0 or 1) pre-test response</dd>
<dt>post</dt>
<dd>numeric (0 or 1) post-test response</dd>
<dt>gamma</dt>
<dd>numeric guessing probability</dd></dl>

Arguments

Class-conditional likelihood for single item — class_conditional_item

<dl>

<dt>pre</dt>
<dd>numeric (0 or 1) pre-test response</dd>


<dt>post</dt>
<dd>numeric (0 or 1) post-test response</dd>


<dt>gamma</dt>
<dd>numeric guessing probability</dd>

</dl>

class_conditional_item: Class-conditional likelihood for single item

Description

Usage

Value

Arguments