Mixed Effects and Nested Models
http://openmx.psyc.virginia.edu/taxonomy/term/26/0
enCross-Classified/Nested Model Support/Examples
http://openmx.psyc.virginia.edu/thread/4163
<p>Hello,</p>
<p>I'm trying to understand the support OpenMx has for nested models and especially cross-classified models. I've found some great examples (<a href="http://psychological-research.org/R/" title="http://psychological-research.org/R/">http://psychological-research.org/R/</a>) for doing these models in a wide data format. This approach though is a bit cumbersome for larger and more complex models, especially cross-classified models. </p>
<p>I can't find any examples using a multiple group approach (e.g. Muthen, 1994). Can OpenMx use this approach? Are there examples? </p>
<p>Also, I've seen various discussions around the forums about developing a simplified syntax for nested models. Has any progress been made here? I'd be especially interested in seeing examples of cross-classified models if they exist.</p>
<p>Thank you,<br />
Mark</p>
http://openmx.psyc.virginia.edu/thread/4163#commentsMixed Effects and Nested ModelsMon, 18 Jul 2016 16:56:01 +0000Mrkwht4163 at http://openmx.psyc.virginia.eduOpenMx Code for Multilevel Modeling, as described in Mehta & Neale (2005)
http://openmx.psyc.virginia.edu/thread/2174
<p>Dear all,</p>
<p>I was looking for a way to compute multilevel models in OpenMx, so I ported the Mx code in the appendix of Mehta & Neale's excellent paper (1) to OpenMx (2). As far as I'm aware, there is no working example of multilevel modeling in OpenMx yet, so I leave a link here in case someone is interested. Comments are welcome!</p>
<p>Chris</p>
<p>(1) Mehta, P. D., & Neale, M. C. (2005). People are variables too: Multilevel structural equations modeling. Psychological Methods, 10(3), 259–284.</p>
<p>(2) <a href="http://psychological-research.org/R/" title="http://psychological-research.org/R/">http://psychological-research.org/R/</a></p>
http://openmx.psyc.virginia.edu/thread/2174#commentsMixed Effects and Nested ModelsSun, 23 Jun 2013 12:32:09 +0000ctseubert2174 at http://openmx.psyc.virginia.eduCombining dynamic random effects with latent structures
http://openmx.psyc.virginia.edu/thread/591
<p>Hi all,</p>
<p>I'm currently working on a cross-lagged mixed effects model of the following form:</p>
<p><a href="http://photobucket.com" target="_blank"><img src="http://i800.photobucket.com/albums/yy286/Math_Wolf/MW1/formula2.png" border="0" alt="Photobucket" /></a></p>
<p>Here, the "i" refer to random subjects and therefore we have subject-specific dynamic effects.<br />
This model can be fitted with linear mixed modeling software, but this is only possible when Y and Z are measured.<br />
In practice however, Y and Z may be latent constructs, measured by several indicators. (in my example, Y and Z are depression and self-esteem, each measured by several strongly correlated indicators.)</p>
<p>As far as I know, currently no methods exist to combine the dynamic random effects and the latent constructs (at least not in an easy way / within the frequentist framework).</p>
<p>Therefore, my question is: does any of you have an idea if this is possible in any way and, if yes, how it could be implemented.<br />
The easier problem can be rephrased as: how can Y_i = b_i * X_i with X and Y latent and b_i subject specific be modeled.</p>
<p>At the workshop of prof. Boker at the IMPS conference, this question was also raised (in a less clear way I must admit) and subject-specific moderators were mentioned as a possible way to do this.</p>
<p>Regards,<br />
Bart</p>
http://openmx.psyc.virginia.edu/thread/591#commentsMixed Effects and Nested ModelsMon, 19 Jul 2010 10:35:44 +0000Math Wolf591 at http://openmx.psyc.virginia.eduDocumentation?
http://openmx.psyc.virginia.edu/thread/125
<p>Currently, is there any documentation on running a mixed effect or nested model? I know several people who are interested, but they need some information to get started. An example perhaps? (even a very simple one)</p>
http://openmx.psyc.virginia.edu/thread/125#commentsMixed Effects and Nested ModelsFri, 28 Aug 2009 21:11:11 +0000pdeboeck125 at http://openmx.psyc.virginia.edu