nodk_cell_probs

The multinomial cell probabilities implied by the latent class
 transition parameters. This is the single definition of the model; every
 likelihood, expected-count and goodness-of-fit routine calls it rather than
 restating the algebra.
Latent classes are named pre-state then post-state over guess (g) and know
 (k), so `gk` is guess at the pretest and know at the posttest. Knowledge is
 assumed not to be lost over the process, so the know-to-guess class is
 identically zero and does not appear.

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

nodk_cell_probs function

<dl><dt>gg</dt>
<dd>proportion guess -&gt; guess</dd>
<dt>gk</dt>
<dd>proportion guess -&gt; know</dd>
<dt>kk</dt>
<dd>proportion know -&gt; know</dd>
<dt>g1</dt>
<dd>probability a guess is correct (gamma)</dd></dl>

Arguments

Cell probabilities for the model without Don't Know — nodk_cell_probs

<dl>

<dt>gg</dt>
<dd>proportion guess -&gt; guess</dd>


<dt>gk</dt>
<dd>proportion guess -&gt; know</dd>


<dt>kk</dt>
<dd>proportion know -&gt; know</dd>


<dt>g1</dt>
<dd>probability a guess is correct (gamma)</dd>

</dl>

nodk_cell_probs: Cell probabilities for the model without Don't Know

Description

Usage

Value

Arguments