new_guess_fit

Print, summary, coef, vcov, and confint methods for guess model fits
and cross-validation results.
Create a guess_fit object

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

new_guess_fit function

<dl><dt>params</dt>
<dd>parameter matrix (rows = parameters, cols = items)</dd>
<dt>learning</dt>
<dd>learning estimates vector</dd>
<dt>n_items</dt>
<dd>number of items</dd>
<dt>n_obs</dt>
<dd>total observations</dd>
<dt>model_type</dt>
<dd>"nodk" or "dk"</dd>
<dt>call</dt>
<dd>original function call</dd></dl>

Arguments

S3 Methods for guess Objects — new_guess_fit

<dl>

<dt>params</dt>
<dd>parameter matrix (rows = parameters, cols = items)</dd>


<dt>learning</dt>
<dd>learning estimates vector</dd>


<dt>n_items</dt>
<dd>number of items</dd>


<dt>n_obs</dt>
<dd>total observations</dd>


<dt>model_type</dt>
<dd>"nodk" or "dk"</dd>


<dt>call</dt>
<dd>original function call</dd>

</dl>

new_guess_fit: S3 Methods for guess Objects

Description

Usage

Value

Arguments