Creates Group-Wise Item Response Dataset
Creates group-wise item response dataset.
resp_groupwise(resp, group, items_group)
resp |
Dataset with item responses |
group |
Vector of group identifiers |
items_group |
List containing vectors of groups for each item which should be made group-specific |
Dataset
## Not run: ############################################################################# # EXAMPLE 1: Toy dataset ############################################################################# library(CDM) library(TAM) data(data.ex11, package="TAM") dat <- data.ex11 dat[ dat==9 ] <- 0 resp <- dat[,-1] # group labels booklets <- sort( unique(paste(dat$booklet))) #- fit initial model mod0 <- TAM::tam.mml( resp, group=dat$booklet) summary(mod0) # fit statistics fmod <- IRT.RMSD(mod) stat <- abs(fmod$MD[,-1]) stat[ is.na( fmod$RMSD[,2:4] ) ] <- NA thresh <- .01 round(stat,3) # define list define groups for group-specific items items_group <- apply( stat, 1, FUN=function(ll){ v1 <- booklets[ which( ll > thresh ) ] v1[ ! is.na(v1) ] } ) #- create extended response dataset dat2 <- sirt::resp_groupwise(resp=resp, group=paste(dat$booklet), items_group=items_group) colSums( ! is.na(dat2) ) #- fit model for extended response dataset mod2 <- TAM::tam.mml( dat2, group=dat$booklet) summary(mod2) ## End(Not run)
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