village: Sahariya Village Quality

In SubCultCon: Maximum-Likelihood Cultural Consensus Analysis with Sub-Cultures

Description

Informants from Sahariya villages in the Indian state of Madhya Pradesh responded to fourteen queries as to their perceptions of social and material well-being and village quality.

Usage

data(village)

Format

There are three objects:

group: indicator for which village the informant comes from

questions: topics for the queries

answermat: 157 by 14 matrix of answers

Details

Eighty of the informants came from a village which remains in its traditional location, adjacent to a relatively rich forest. Seventy-seven came a similar village which was relocated.

Source

Collected by Jeffrey G. Snodgrass and his research team in Madhya Pradesh, India Spring 2011, in a project funded by the National Science Foundation, Environmental Displacement and Human Resilience: New Explanations Using Data from Central India. PI is Jeffrey G. Snodgrass, Co-PI is Sammy Zahran. 2011-14.

Examples

data(village)
village$questions
##
# uncomment to do an hypothesis test of H_0: same answer key for both villages, versus
#                                            H_1: villages have different answer keys
#ans=ccgrouptest(village$answermat,village$group) ## takes a few minutes to simulate distribution
#par(mar=c(3,4,3,1))
#hist(ans$simdist,br=0:50/50*(ans$diff-min(ans$simdist))+min(ans$simdist),
#main="simulated distribution of test statistic
#observed value is X")
#points(ans$diff,0,pch="X",cex=1.2,col=2)
#ans$pval  # the computed p-value is zero because the observed test statistic 
#                  #  is larger than all simulated values

Example output

 [1] "land"     "jungle"   "irr"      "water1"   "water2"   "fodder"  
 [7] "elec"     "hospital" "road"     "fuel"     "security" "panch"   
[13] "fd"       "ngo"     

SubCultCon documentation built on May 2, 2019, 5:08 a.m.