Rank responses based on the Generalized score test

Description

Rank responses of a single response question or a multiple response question by the generalized score test procedure.

Usage

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rank.gs(data, alpha, type=2)

Arguments

data

A m x n matrix dij, where dij = 0 or 1. If the ith respondent selects the jth response, then dij = 1, otherwise dij = 0.

alpha

The significance level used in the Generalized score test.

type

type=1 for a single response question ;type=2 for a multiple response question .

Value

The rank.gs returns the estimated probabilities of the responses being selected and the ranks of the responses by the Generalized score procedure.

Author(s)

Hsiuying Wangwang@stat.nctu.edu.tw,Yu-Chun Linrestart79610@hotmail.com

References

Wang, H. (2008). Ranking Responses in Multiple-Choice Questions. Journal of Applied Statistics, 35, 465-474.

See Also

rank.btmm,rank.btnr,rank.btqn,rank.L2R,rank.LN,rank.wald

Examples

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## This is an example to rank three responses in a multiple response question when
## the number of respondents is 1000 and the significance level is 0.05. In this
##example,we do not use a real data, but generate data in the first three lines.
A <-sample.int(2,1000,replace=TRUE,prob=c(0.21,0.79))-1
B <-sample.int(2,1000,replace=TRUE,prob=c(0.81,0.19))-1
C <-sample.int(2,1000,replace=TRUE,prob=c(0.62,0.28))-1
D <-cbind(A,B,C)
data <-matrix(D,nrow=1000,ncol=3)
## or upload the true data
alpha<-0.05
rank.gs(data,alpha,2)