kinship | R Documentation |
Rosenberg and Kim (1975) designed an experiment to analyze the perceived similarities of 15 kinship terms.
Here, we consider the data relative to 85 females made available in Rosenberg (1982). Each subject was asked to group the kinship terms according to the perceived similarity. Thus, S = 85 binary dissimilarity matrices are available whose elements (0 or 1) indicate whether or not two kinship terms were grouped together by each individual.
data(kinship)
A dmbc_data
object whose diss
element is a list of 85
binary dissimilarity matrices. Each matrix is defined as a dist
object measuring whether each pair of the 15 kinship terms is judged as
similar (1) or not (0).
The dist
objects have rows and columns that are named as follows:
grandfather
grandmother
granddaughter
grandson
brother
sister
father
mother
daughter
son
nephew
niece
cousin
aunt
uncle
Rosenberg, S. (1982). The method of sorting in multivariate research with applications selected from cognitive psychology and person perception. In N Hirschberg, LG Humphreys (eds.), Multivariate Applications in the Social Sciences, pp. 117–142. Erlbaum., Hillsdale, NJ.
Rosenberg, S., Kim, M. P. (1975). The method of sorting as a data-gathering procedure in multivariate research. Multivariate Behavioral Research, 10.
data(kinship)
library(bayesplot)
cols <- color_scheme_set("mix-red-blue")
plot(kinship, colors = unlist(cols)[c(1, 6)], font = 1, cex.font = 0.75)
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