[R] Ability Estimates for Repeated Measurements in the eRm Package

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Tessari

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Sep 2, 2009, 11:49:48 AM9/2/09
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Dear R Users,

I am using the LLTM and the LRSM functions in the eRm package to do repeated
measurements where there are 2 measurement points for a list of 10 items. I
am trying to get ability estimates but am having trouble. I don't think
that it is appropriate to use the pmat function since the person parameters
are based on all 20 items. Rather, I think it would be more appropriate to
have the person parameters be based on the 10 items at Time 1 and then the
next 10 items at Time 2. However, I don't want to form 2 separate Rasch
models since I think it's important to have all 20 item parameters
calculated at once.

Any advice would be greatly appreciated. Also, if more information is
needed, I could send my sample code.

Best,

Kim
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Doran, Harold

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Sep 2, 2009, 12:43:33 PM9/2/09
to Tessari, r-h...@r-project.org
Not sure I completely understand what you want. You might try looking at
the irt.ability() function in the MiscPscyho package for ability
estimates.

Tessari

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Sep 3, 2009, 5:41:39 PM9/3/09
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Hello,

Thank you very much for the tip. I think that the irt.ability() function is
what I'm looking for but I'm not sure.

To be more clear, I have obtained item parameters from the LLTM function in
the eRm package which allows for repeated measurements. I have 10 items
measured at 2 time points, for a total of 20 item parameters. I wish to get
the ability estimate for a person at time 1 and then separately at time 2.
Here is the code I'm using but it doesn't seem to work.

ItemParams<-c(-0.199,-0.283,0.109 ,0.142 ,0.056
,-0.062,-0.125,0.066,0.153,0.142,
0.102,0.019,0.411,0.443,0.357,0.239,0.176,0.368,0.454,0.443)

Time1Params<-list("1pl" = list (b = ItemParams[1:10]))

Time2Params<-list("1pl" = list (b = ItemParams[10:20]))

irt.ability(c(1,0,1,1,1,1,0,1,1,1),Time1Params,method="MLE")

irt.ability(c(1,1,1,1,0,0,1,1,1,1),Time2Params,method="MLE")

Also, I've tried to locate the MP Vignette but have been unsuccessful.

Thanks again for your timely response. It's greatly appreciated!

Best,

Kim

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