262
Appendix A
guttman.sav. Bell(Bell, 1961) presented a table to illustrate possible social groups. Guttman
(Guttman, 1968) used a portionof this table, in which ve variables describing such things
as social interaction, feelings of belonging to a group, physical proximity of members, and
formality of the relationship were crossed withseven theoretical social groups, including
crowds (for example, people at a football game), audiences (for example, people at a theater
or classroom lecture), public (for example, newspaper or television audiences), mobs (likea
crowd but with much more intense interaction),primary groups (intimate), secondary groups
(voluntary), and the modern community(loose confederation resulting from close physical
proximity and a need for specialized services).
health_funding.sav. This is a hypothetical data le that contains data on health care funding
(amount per 100 population), disease rates (rate per 10,000 population), and visits to health
care providers (rateper 10,000 population). Each case represents a different city.
hivassay.sav. Thisis a hypothetical data le that concerns the efforts of a pharmaceutical
lab to develop a rapid assay for detectingHIV infection. The results of the assay are eight
deepening shades of red, with deeper shades indicating greater likelihood of infection. A
laboratory trial was conducted on 2,000 bloodsamples, half of whichwere infected with
HIV and half of which were clean.
hourlywagedata.sav. Thisis a hypot hetical data le that concerns the hourly wages of nurses
from ofceand hospital positions and with varying levels of experience.
insurance_claims.sav. Thisis a hypo thetical data le that concernsan insurance company that
wants to build a model for agging suspicious, potentially fraudulent claims. Each case
represents a separate claim.
insure.sav. Thisis a hypothetical data le that concerns an insurance company that is studying
the risk factors that indicate whethera client will have to make a claim on a 10-year term
life insurance contract. Each case in the data le represents a pair of contracts, one of which
recorded a claim and the other didn’t, matched on age and gender.
judges.sav. This is a hypothetical data le that concerns thescores given by trained judges
(plus one enthusiast) to 300 gymnastics performances. Each row represents a separate
performance; the judges viewed the same performances.
kinship_dat.sav. Rosenbergand Kim (Rosenberg and Kim, 1975) set out to analyze 15 kinship
terms (aunt, brother, cousin, daughter, father,granddaughter, grandfather, grandmother,
grandson, mother,nephew, niece, sister, son, uncle). They asked four groups of college
students (two female, two male) to sort these terms on the basis of similarities. Two groups
(one female, one male)were asked to sort twice, with the second sorting based on a different
criterion from the rst sort. Thus, a total of six “sources” were obtained. Each source
corresponds to a proximitymatrix, whose cells are equal to the number of people in a
source minus the number of times the objects were partitioned together in that source.
kinship_ini.sav. Thisdata le contains an initial conguration for a three-dimensional solution
for kinship_dat.sav.
kinship_var.sav.This data lecontains independent variablesgender,gener(ation), and degree
(of separation) that can be usedto interpretthe dimensions of a solution for kinship_dat.sav.
Specically,they can be used to restrict the space of the solution to a linear combination of
these variables.
marketvalues.sav. This datale concerns home sales in a new housing development in
Algonquin,Ill., during the years from 1999–2000. Thesesales are a matter of public record.