<?xml version="1.0" encoding="UTF-8" standalone="yes"?><oembed><version><![CDATA[1.0]]></version><provider_name><![CDATA[Replicability-Index]]></provider_name><provider_url><![CDATA[https://replicationindex.wordpress.com]]></provider_url><author_name><![CDATA[Dr. R]]></author_name><author_url><![CDATA[https://replicationindex.wordpress.com/author/rindex4science/]]></author_url><title><![CDATA[Conduct Your Own Replicability&nbsp;Analysis]]></title><type><![CDATA[link]]></type><html><![CDATA[<p>You can download an excel spreadsheet to conduct your own replicability analysis.</p>
<p><a title="Spreadsheet.Coding" href="https://replicationindex.files.wordpress.com/2018/03/spreadsheet-coding1.xlsx">Spreadsheet.Coding</a></p>
<p>The most important columns are L (which.statistical.test), O (df1), P(df2), Q(test.statistic), and R (Success).</p>
<p><strong>L (which statistical test): </strong><br />
Enter F,t,z,chisq</p>
<p><strong>O(df1)</strong><br />
Enter experimenter df for F, enter 1 or leave blank for other tests.</p>
<p><strong>P(dfd)<br />
</strong>Enter participant df for F and t and df for chi^2</p>
<p><strong>Q(test statistic)</strong><br />
Enter actual F,t,z, or chi^2 value</p>
<p><strong>R(success)<br />
</strong>Enter whether result was counted as success or not.<br />
(Entering marginal significant as success results in negative R-Index for this study)<br />
(Entering marginal significant as failure results in very high R-Index, that is probably not justified).<br />
(If in doubt, do not enter marginally significant results or enter with 0.5 for success).</p>
<p>Feel free to post questions in the comment section or email me.</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
]]></html></oembed>