normalize_responses

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

normalize_responses function

<dl><dt>x</dt>
<dd>response vector</dd>
<dt>na_as</dt>
<dd>classification of NA responses</dd>
<dt>missing_action</dt>
<dd>structural missingness handling</dd></dl>

Arguments

Normalize raw item responses — normalize_responses

<dl>

<dt>x</dt>
<dd>response vector</dd>


<dt>na_as</dt>
<dd>classification of NA responses</dd>


<dt>missing_action</dt>
<dd>structural missingness handling</dd>

</dl>

normalize_responses: Normalize raw item responses

Description

Usage

Value

Arguments