interpret_icc

The value of an ICC lies between 0 to 1, with 0 indicating no reliability among raters and 1 indicating perfect reliability.

interpreters

Provide utilities to work with indices of effect size for a wide
variety of models and hypothesis tests (see list of supported models using
the function 'insight::supported_models()'), allowing computation of and
conversion between indices such as Cohen's d, r, odds, etc.
References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.

Mattan S. Ben-Shachar

effectsize

Indices of Effect Size

Dominique Makowski

Daniel Lüdecke

Indrajeet Patil

Brenton M. Wiernik

Rémi Thériault

Ken Kelley

David Stanley

Aaron Caldwell

Jessica Burnett

Johannes Karreth

interpret_icc function

<dl><dt>icc</dt>
<dd>Value or vector of Intraclass Correlation Coefficient (ICC) values.</dd>
<dt>rules</dt>
<dd>Can be <code>"koo2016"</code> (default) or custom set of <code>rules()</code>.</dd>
<dt>...</dt>
<dd>Not used for now.</dd></dl>

Arguments

<ul>
<li>Koo (2016) (<code>"koo2016"</code>; default)<ul>
<li>ICC &lt; 0.50 - Poor reliability</li>
<li>0.5 &lt;= ICC &lt; 0.75 - Moderate reliability</li>
<li>0.75 &lt;= ICC &lt; 0.9 - Good reliability</li>
<li>**ICC &gt;= 0.9 ** - Excellent reliability</li>
</ul></li>
</ul>

Rules

Interpret Intraclass Correlation Coefficient (ICC) — interpret_icc

<dl>

<dt>icc</dt>
<dd>Value or vector of Intraclass Correlation Coefficient (ICC) values.</dd>


<dt>rules</dt>
<dd>Can be <code>"koo2016"</code> (default) or custom set of <code>rules()</code>.</dd>


<dt>...</dt>
<dd>Not used for now.</dd>

</dl>

<ul>
<li>Koo (2016) (<code>"koo2016"</code>; default)<ul>
<li>ICC &lt; 0.50 - Poor reliability</li>
<li>0.5 &lt;= ICC &lt; 0.75 - Moderate reliability</li>
<li>0.75 &lt;= ICC &lt; 0.9 - Good reliability</li>
<li>**ICC &gt;= 0.9 ** - Excellent reliability</li>
</ul></li>
</ul>

interpret_icc: Interpret Intraclass Correlation Coefficient (ICC)

Description

Usage

Arguments

Rules

References

Examples