CKM {spatialprobit}

Coleman, Katz, Menzel "Innovation among Physicians" dataset

Description

The classic Coleman's Drug Adoption dataset "Innovation among Physicians" for studying the information diffusion through social networks.

Usage

data(CKM)

Format

A data frame CKM with 246 observations on the following 13 variables.

city

a numeric vector; City: 1 Peoria, 2 Bloomington, 3 Quincy, 4 Galesburg

adoption.date

an ordered factor with levels November, 1953 < December, 1953 < January, 1954 < February, 1954 < March, 1954 < April, 1954 < May, 1954 < June, 1954 < July, 1954 < August, 1954 < September, 1954 < October, 1954 < November, 1954 < December, 1954 < December/January, 1954/1955 < January/February, 1955 < February, 1955 < no prescriptions found < no prescription data obtained

med_sch_yr

years in practice

meetings

meetings attended

jours

journal subscriptions

free_time

free time activities

discuss

discussions

clubs

club memberships

friends

friends

community

time in the community

patients

patient load

proximity

physical proximity to other physicians

specialty

medical specialty

Three 246 \times 246 binary peer matrices A1,A2,A3 for three different social relationships/networks: "Advice", "Discussion", "Friend".

Three 246 \times 246 spatial weight matrices W1, W2 and W3 from built from adjacency matrices A1,A2,A3.

Details

The description of the data set from a UCI website (previous link is invalid now):

This data set was prepared by Ron Burt. He dug out the 1966 data collected by Coleman, Katz and Menzel on medical innovation. They had collected data from physicians in four towns in Illinois, Peoria, Bloomington, Quincy and Galesburg.

They were concerned with the impact of network ties on the physicians' adoprion of a new drug, tetracycline. Three sociometric matrices were generated. One was based on the replies to a question, "When you need information or advice about questions of therapy where do you usually turn?" A second stemmed from the question "And who are the three or four physicians with whom you most often find yourself discussing cases or therapy in the course of an ordinary week – last week for instance?" And the third was simply "Would you tell me the first names of your three friends whom you see most often socially?"

In addition, records of prescriptions were reviewed and a great many other questions were asked. In the CKM data I have included 13 items: city of practice, recorded date of tetracycline adoption date, years in practice, meetings attended, journal subscriptions, free time activities, discussions, club memberships, friends, time in the community, patient load, physical proximity to other physicians and medical specialty.

The codes are:
City (: 1 Peoria, 2 Bloomington, 3 Quincy, 4 Galesburg

Adoption Date:

1	November, 1953
2	December, 1953
3	January, 1954
4	February, 1954
5	March, 1954
6	April, 1954
7	May, 1954
8	June, 1954
9	July, 1954
10	August, 1954
11	September, 1954
12	October, 1954
13	November, 1954
14	December, 1954
15	December/January, 1954/1955
16	January/February, 1955
17	February, 1955
18	no prescriptions found
98	no prescription data obtained

Year started in the profession

1	1919 or before
2	1920-1929
3	1930-1934
4	1935-1939
5	1940-1944
6	1945 or later
9	no answer

Have you attended any national, regional or state conventions of professional societies during the last 12 months? [if yes] Which ones?

0	none
1	only general meetings
2	specialty meetings
9	no answer

Which medical journals do you receive regularly?

1	two
2	three
3	four
4	five
5	six
6	seven
7	eight
8	nine or more
9	no answer

With whom do you actually spend more of your free time – doctors or non-doctors?

1	non-doctors
2	about evenly split between them
3	doctors
9	mssing; no answer, don't know

When you are with other doctors socially, do you like to talk about medical matter?

1	no
2	yes
3	don't care
9	missing; no answer, don't know

Do you belong to any club or hobby composed mostly of doctors?

0	no
1	yes
9	no answer

Would you tell me who are your three friends whom you see most often socially? What is [their] occupation?

1	none are doctors
2	one is a doctor
3	two are doctors
4	three are doctors
9	no answer

How long have you been practicing in this community?

1	a year or less
2	more than a year, up to two years
3	more than two years, up to five years
4	more than five years, up to ten years
5	more than ten years, up to twenty years
6	more than twenty years
9	no answer

About how many office visits would you say you have during the average week at this time of year?

1	25 or less
2	26-50
3	51-75
4	76-100
5	101-150
6	151 or more
9	missing; no answer, don't know

Are there other physicians in this building? [if yes] Other physicians in same office or with same waiting room?

1	none in building
2	some in building, but none share his office or waiting room
3	some in building sharing his office or waiting room
4	some in building perhaps sharing his office or waiting room
9	no answer

Do you specialize in any particular field of medicine? [if yes] What is it?

1	GP, general practitioner
2	internist
3	pediatrician
4	other specialty
9	no answer

Source

The data set had been reproduced from the now invalid http://moreno.ss.uci.edu/data.html#ckm with the friendly permission of Prof. Lin Freeman.

References

Burt, R. (1987). Social contagion and innovation: Cohesion versus structural equivalence. American Journal of Sociology, 92, 1287–1335.

Coleman, James, Elihu Katz and Herbert Menzel (1957). The Diffusion of an Innovation Among Physicians, Sociometry, 20, 253–270.

Coleman, J.S., E. Katz, and H. Menzel (1966). Medical Innovation: A Diffusion Study. New York: Bobbs Merrill.

Valente, T. W. (1995). Network Models of the Diffusion of Innovations. Cresskill, NJ: Hampton Press.

Van den Bulte, C. and G. L. Lilien. (2001). Medical Innovation Revisited: Social Contagion versus Marketing Effort, American Journal of Sociology, 106, 1409–1435.

Examples

data(CKM)