person_item_expectation

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

person_item_expectation function

<dl><dt>pre</dt>
<dd>numeric pre-test matrix</dd>
<dt>post</dt>
<dd>numeric post-test matrix</dd>
<dt>complete</dt>
<dd>logical matrix of complete response pairs</dd>
<dt>class_priors</dt>
<dd>shared class proportions</dd>
<dt>gamma</dt>
<dd>item-specific guessing probabilities</dd></dl>

Arguments

Person/item EM expectation step — person_item_expectation

<dl>

<dt>pre</dt>
<dd>numeric pre-test matrix</dd>


<dt>post</dt>
<dd>numeric post-test matrix</dd>


<dt>complete</dt>
<dd>logical matrix of complete response pairs</dd>


<dt>class_priors</dt>
<dd>shared class proportions</dd>


<dt>gamma</dt>
<dd>item-specific guessing probabilities</dd>

</dl>

person_item_expectation: Person/item EM expectation step

Description

Usage

Value

Arguments