[R-sig-ME] NAEP Data and lmer

[Doran, Harold]

Kyle:

I think this needs much more context before I can be helpful, or maybe I
am missing something. Our software program AM (that is AIR's software)
is designed to handle some NAEP analyses (and it is also free). It also
has a small component for MLMs, but it is not able to do what lmer does.

Are you asking about 5 analyses because you want to do 1 for each of the
5 plausible values? 


> -----Original Message-----
> From: Roberts, J. Kyle [mailto:jkrobert at bcm.tmc.edu] 
> Sent: Thursday, June 07, 2007 11:41 AM
> To: Doran, Harold; r-sig-mixed-models at r-project.org
> Subject: RE: [R-sig-ME] NAEP Data and lmer
> 
> Harold,
> 
> I just want to use R to analyze NAEP data in a multilevel 
> framework.  I don't want to actually calculate plausible 
> values (if I understood your question correctly).  I was 
> wondering if I would need to run 5 separate analyses and then 
> average across those values or if there was some built-in 
> function in R that would let me run all five analyses 
> simultaneously (like how SPSS handles NAEP data with 
> regression and ANOVA).  For my analyses, I am wanting to look 
> at student-level science scores nested within states.  I am 
> wanting to do this to see the effect of states adding science 
> components to their state mandated standardized assessments 
> (like Texas did a few years back).  This is more curiosity on 
> my part than any rigorous study.  Regardless, I would be very 
> interested in seeing the vignette for the class.acc() function.
> 
> Thanks,
> Kyle
> 
> 
> ***************************************
> J. Kyle Roberts, Ph.D.
> Baylor College of Medicine
> Center for Educational Outreach
> One Baylor Plaza, MS:  BCM411
> Houston, TX   77030-3411
> 713-798-6672 - 713-798-8201 Fax
> jkrobert at bcm.edu
> ***************************************
> 
> -----Original Message-----
> From: Doran, Harold [mailto:HDoran at air.org]
> Sent: Thursday, June 07, 2007 10:13 AM
> To: Roberts, J. Kyle; r-sig-mixed-models at r-project.org
> Subject: RE: [R-sig-ME] NAEP Data and lmer
> 
> Kyle:
> 
> What do you mean by "handle the plausible values thing in R". The
> class.acc() function in the MiscPsycho package is essentially 
> the same expression used for calculating NAEP plausble 
> values. I can send the vignette that shows the computational 
> details. Since for each student you have multiple plausible 
> values, can you give us a sense of what your data structure 
> looks like and how you're analyzing it in order to answer 
> your question? 
> 
> Harold
> 
> 
> > -----Original Message-----
> > From: r-sig-mixed-models-bounces at r-project.org
> > [mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf Of 
> > Roberts, J. Kyle
> > Sent: Thursday, June 07, 2007 11:03 AM
> > To: r-sig-mixed-models at r-project.org
> > Subject: [R-sig-ME] NAEP Data and lmer
> > 
> >  
> > Friends,
> > 
> > Have any of you used either lme or lmer to analyze NAEP data? 
> > I have done some things with HLM (the software), but 
> wondered if there 
> > was already a set of routines for handling the whole "plausible 
> > values" thing in R. Also, for those of you familiar with 
> the NAEP and 
> > HLM, does HLM just average the results of the plausible 
> values, or is 
> > the final estimate a maximized estimate based on the five plausible 
> > values?
> > 
> > Thanks,
> > Kyle
> > 
> > P.S. - Be on the watch for the first ever "North American 
> Conference 
> > on Multilevel Analysis" coming late Spring 2008!!
> > 
> > ***************************************
> > J. Kyle Roberts, Ph.D.
> > Baylor College of Medicine
> > Center for Educational Outreach
> > One Baylor Plaza, MS:  BCM411
> > Houston, TX   77030-3411
> > 713-798-6672 - 713-798-8201 Fax
> > jkrobert at bcm.edu
> > 
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