dmbc (version 1.0.3)

kinship: List of binary dissimilarity matrices among 15 kinship terms.

Description

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.

Usage

data(kinship)

Format

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:

GrF

grandfather

GrM

grandmother

GrD

granddaughter

GrS

grandson

Bro

brother

Sis

sister

Fat

father

Mot

mother

Dau

daughter

Son

son

Nep

nephew

Nie

niece

Cou

cousin

Aun

aunt

Unc

uncle

References

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.

Examples

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)