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Social Mobility (I vs NI) 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_IvsNI : n= 1156 , d= 5
Class1: n= 578
Covariance matrix:
[,1] [,2] [,3] [,4] [,5]
[1,] 24.0416 0.0000 0.0000 -40.8066 -39.4499
[2,] 0.0000 24.0416 0.0000 -17.1880 29.8759
[3,] 0.0000 0.0000 0.2504 -12.4706 -13.5733
[4,] -40.8066 -17.1880 -12.4706 3561.4839 2466.9477
[5,] -39.4499 29.8759 -13.5733 2466.9477 2948.6216
Correlation matrix:
[,1] [,2] [,3] [,4] [,5]
[1,] 1.0000 0.0000 0.0000 -0.1395 -0.1482
[2,] 0.0000 1.0000 0.0000 -0.0587 0.1122
[3,] 0.0000 0.0000 1.0000 -0.4176 -0.4995
[4,] -0.1395 -0.0587 -0.4176 1.0000 0.7613
[5,] -0.1482 0.1122 -0.4995 0.7613 1.0000
Median: 9.0697 8.752 1.6736 8.8159 10.2741
Mean: 9 9 1.5 29.169 31.5498
MCD-estimated:
MDC-0.975-Mean: 9.7929 8.8382 1.8608 2.965 3.3408
MDC-0.750-Mean: 9.7774 8.8645 1.8581 2.981 3.3716
MDC-0.500-Mean: 9.7532 8.7955 1.8734 3.013 3.4078
Class2: n= 578
Covariance matrix:
[,1] [,2] [,3] [,4] [,5]
[1,] 24.0416 0.0000 0.0000 -9.0388 -8.7823
[2,] 0.0000 24.0416 0.0000 -6.6237 1.5109
[3,] 0.0000 0.0000 0.2504 -1.3932 -1.4858
[4,] -9.0388 -6.6237 -1.3932 77.6580 50.2894
[5,] -8.7823 1.5109 -1.4858 50.2894 60.5211
Correlation matrix:
[,1] [,2] [,3] [,4] [,5]
[1,] 1.0000 0.0000 0.0000 -0.2092 -0.2302
[2,] 0.0000 1.0000 0.0000 -0.1533 0.0396
[3,] 0.0000 0.0000 1.0000 -0.3159 -0.3816
[4,] -0.2092 -0.1533 -0.3159 1.0000 0.7336
[5,] -0.2302 0.0396 -0.3816 0.7336 1.0000
Median: 9.3749 9.0705 1.5603 2.6549 2.9378
Mean: 9 9 1.5 4.7125 4.8758
MCD-estimated:
MDC-0.975-Mean: 10.2538 9.1865 1.7187 0.6275 0.7015
MDC-0.750-Mean: 10.2378 9.1646 1.7165 0.6357 0.7024
MDC-0.500-Mean: 10.2538 9.1865 1.7187 0.6275 0.7015
Measures:
Mah.Dist: 0.7611
Mah.Dist-MCD-0.975: 0.8529
Mah.Dist-MCD-0.750: 0.8316
Mah.Dist-MCD-0.500: 0.8234
Zuletzt geändert am 17.02.2013
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