Thank you, Kosuke. <br><br>I will look into the paper. That should be on your website I assume? <br><br>Boya Ma <br><br><br><div class="gmail_quote">On Fri, Nov 4, 2011 at 8:17 PM, Kosuke Imai <span dir="ltr"><<a href="mailto:kimai@princeton.edu">kimai@princeton.edu</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">Dear Boya,<br>
<br>
Unfortunately, our package does not yet support lmer functions. If you have some programming experience in R, however, you should be able to implement our general algorithm (see our Psychological Methods paper) relatively easily with any model including mixed effects models.<br>
<br>
Best,<br>
Kosuke<br>
<br>
Department of Politics<br>
Princeton University<br>
<a href="http://imai.princeton.edu" target="_blank">http://imai.princeton.edu</a><br>
<div><div></div><div class="h5"><br>
On Nov 4, 2011, at 2:10 PM, Ma Ya (Boya) wrote:<br>
<br>
> Hello, Mr. Kosuke Imai;<br>
><br>
> I am working on a projects that we would like to look at the mediation effect of the number of math video a student watched on their performance on Algebra test. We randomized on class level for this project.<br>
><br>
> We are using a mixed model design, students are clustered within classes, so classes are modeled random effect.This requires a lmer function in R, so my question is will the mediate function takes results from lmer funcation, cause on the powerpoint you have showed example of a one level lm funcation.<br>
><br>
> Thank you.<br>
><br>
> Boya Ma<br>
> Manager of design and analysis<br>
> Empirical Education Inc.<br>
<br>
</div></div></blockquote></div><br>