Fractional dichotomous and polytomous models |
This is for 32-bit Facets 3.87. Here is Help for 64-bit Facets 4
Rasch models are designed to estimate measures from ordinal, integer, data. There are situations in which the data are better expressed in fractions, such as the Netflix Prize Challenge. For instance, instead of 0-1, analyzing the data as 0.1-0.9 might give better measures. Data like this can be implemented in Facets using response-level weighting, R.
So, instead of,
Data=
234, 54, 1
234, 55, 0
the data becomes
R0.9, 234,54,1 ; weighted observations have a combined weight of 1, but a combined score of 0.9
R0.1, 234,54,0
R0.9, 234,54,0 ; weighted observations have a combined weight of 1, but a combined score of 0.1
R0.1, 234,54,1
Help for Facets Rasch Measurement and Rasch Analysis Software: www.winsteps.com Author: John Michael Linacre.
Facets Rasch measurement software.
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