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Social Mobility (W vs B) data
The data set (and description) can be downloaded here:
http://lib.stat.cmu.edu/datasets/socmob
Description:
17x17x2x2 tables of counts in GLIM-ready format used for the analyses
in Biblarz, Timothy J., and Adrian E. Raftery. 1993. "The Effects of
Family Disruption on Social Mobility." American Sociological Review
(In press). For further details of the data, see this reference.
Column 1 is father's occupation, coded as follows:
17. Professional, Self-Employed
16. Professional-Salaried
15. Manager
14. Salesman-Nonretail
13. Proprietor
12. Clerk
11. Salesman-Retail
10. Craftsman-Manufacturing
9. Craftsmen-Other
8. Craftsman-Construction
7. Service Worker
6. Operative-Nonmanufacturing
5. Operative-Manufacturing
4. Laborer-Manufacturing
3. Laborer-Nonmanufacturing
2. Farmer/Farm Manager
1. Farm Laborer
Column 2 is son's occupation, coded in the same way as father's.
Column 3 is family structure, coded 1=intact family background and
2=nonintact family background.
Column 4 is race, coded 1=white and 2=black.
Column 5 is counts for son's first occupation.
Column 6 is counts for son's current occupation.
The counts have been weighted to take account of the survey
design, which is why they are not integers.
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This file was constructed from publicly available data collected
by David Featherman and Robert Hauser in 1973: the "Occupational
Change in a Generation II" (OCG II) Survey. Permission is hereby given to
use the above data for non-commercial scholarly and teaching purposes.
If these data are used in a published article or book,
the authors, the original data (in the form given in
Biblarz and Raftery (1993), cited above), and StatLib should
all be acknowledged.
Descriptive statistics:
Dataset= socmob_WvsB : n= 1156 , d= 5
Class1: n= 578
Covariance matrix:
[,1] [,2] [,3] [,4] [,5]
[1,] 24.0416 0.0000 0.0000 -37.2763 -35.8659
[2,] 0.0000 24.0416 0.0000 -15.0674 36.0485
[3,] 0.0000 0.0000 0.2504 -11.6634 -12.7238
[4,] -37.2763 -15.0674 -11.6634 3501.0343 2391.5131
[5,] -35.8659 36.0485 -12.7238 2391.5131 2871.1003
Correlation matrix:
[,1] [,2] [,3] [,4] [,5]
[1,] 1.0000 0.0000 0.0000 -0.1285 -0.1365
[2,] 0.0000 1.0000 0.0000 -0.0519 0.1372
[3,] 0.0000 0.0000 1.0000 -0.3939 -0.4745
[4,] -0.1285 -0.0519 -0.3939 1.0000 0.7543
[5,] -0.1365 0.1372 -0.4745 0.7543 1.0000
Median: 9.3604 8.8852 1.6638 11.2814 13.0796
Mean: 9 9 1.5 30.7806 33.2458
MCD-estimated:
MDC-0.975-Mean: 9.6991 8.8267 1.7751 5.1705 6.1079
MDC-0.750-Mean: 9.6991 8.8267 1.7751 5.1705 6.1079
MDC-0.500-Mean: 9.6991 8.8267 1.7751 5.1705 6.1079
Class2: n= 578
Covariance matrix:
[,1] [,2] [,3] [,4] [,5]
[1,] 24.0416 0.0000 0.0000 -12.5692 -12.3664
[2,] 0.0000 24.0416 0.0000 -8.7444 -4.6617
[3,] 0.0000 0.0000 0.2504 -0.5860 -0.6363
[4,] -12.5692 -8.7444 -0.5860 53.9395 35.6350
[5,] -12.3664 -4.6617 -0.6363 35.6350 41.6431
Correlation matrix:
[,1] [,2] [,3] [,4] [,5]
[1,] 1.0000 0.0000 0.0000 -0.3490 -0.3908
[2,] 0.0000 1.0000 0.0000 -0.2428 -0.1473
[3,] 0.0000 0.0000 1.0000 -0.1595 -0.1970
[4,] -0.3490 -0.2428 -0.1595 1.0000 0.7519
[5,] -0.3908 -0.1473 -0.1970 0.7519 1.0000
Median: 9.5893 9.3288 1.5185 1.5596 1.8022
Mean: 9 9 1.5 3.1009 3.1798
MCD-estimated:
MDC-0.975-Mean: 10.864 9.429 1.6133 0.252 0.3097
MDC-0.750-Mean: 10.9003 9.4773 1.6133 0.2511 0.3127
MDC-0.500-Mean: 10.864 9.429 1.6133 0.252 0.3097
Measures:
Mah.Dist: 0.8583
Mah.Dist-MCD-0.975: 1.3941
Mah.Dist-MCD-0.750: 1.3951
Mah.Dist-MCD-0.500: 1.3941
Zuletzt geändert am 17.02.2013
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