nona

Classifies NAs as observed don't know responses by default. If NAs represent
structural missingness, they can instead be omitted or rejected.

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

nona function

<dl><dt>vec</dt>
<dd>Required. Character or numeric vector.</dd>
<dt>na_as</dt>
<dd>Classification of NA responses: `"dk"` (the default) or
`"missing"`.</dd>
<dt>missing_action</dt>
<dd>How to handle structural missingness: `"omit"` or
`"error"`.</dd></dl>

Arguments

Normalize NA Responses — nona

<dl>

<dt>vec</dt>
<dd>Required. Character or numeric vector.</dd>


<dt>na_as</dt>
<dd>Classification of NA responses: `"dk"` (the default) or
`"missing"`.</dd>


<dt>missing_action</dt>
<dd>How to handle structural missingness: `"omit"` or
`"error"`.</dd>

</dl>

nona: Normalize NA Responses

Description

Usage

Value

Arguments

Examples