SID & SNA for Occupations, Sep091 Comparing social distance and social network approaches to the analysis of social interactions between occupations A.

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SID & SNA for Occupations, Sep091 Comparing social distance and social network approaches to the analysis of social interactions between occupations A description and project proposal http://www.camsis.stir.ac.uk/ Presentation to: Early Career Researchers conference on Social Network Analysis, Dept. Applied Social Science, Univ. Stirling, 18 September 2009 http://www.camsis.stir.ac.uk/ Paul Lambert and David GriffithsUniversity of Stirling Slide 2 SID & SNA for Occupations, Sep092 1)Social Interaction Distance analysis of occupations 2)Social network analysis of occupations (may need some help!...) 3)Our current plans and summary Slide 3 SID & SNA for Occupations, Sep093 Part 1: CAMSIS, www.camsis.stir.ac.ukwww.camsis.stir.ac.uk Lays out a methodology for analysing social interaction for the purpose of social stratification research Analyse pairs of occupations linked by a social interaction (marriage; friendship; inter- and intra- generational connections) Use correspondence analysis (SPSS; Stata) or RC-II association models (Stata; lEM) on pairs of occupations Tradition of specificity: makes an empirical calculation within a context (country; time period) Slide 4 4 Derived scores predict frequency of interactions (#cases per cell) The scales describe one or more dimensions of a structure of social interaction this turns out to also represent a structure of social stratification resulting in scale scores which measure an occupations relative position within the structure of stratification. Husbands Job Units Occ Units 12..407 Derived scores 75.070.0..10.0 Wifes 1 72.0 3015..0 Job 2 72.5 13170..1 Units.. 407 11.0 02..80 Slide 5 SID & SNA for Occupations, Sep095 Slide 6 6 Slide 7 7 Slide 8 8 Example of HISCAM www.camsis.stir.ac.uk/hiscam Generation of CAMSIS scales for 8 nations in period 1800-1938 Belgium, Britain, Canada, France, Germany, Netherlands, Sweden, USA Slide 9 Recording occupational titles - HISCO (van Leeuwen et al. 2002) - Bespoke national schemes (e.g. Prandy and Bottero 1998; Miles 1999) Slide 10 SID & SNA for Occupations, Sep0910 Historical microdata Record linkage studies Family History Study [Prandy & Bottero 1998] Register databases Censuss NAPP 100% census for selected countries, including UK, Canada, US, IPUMS US data from 19 th Century Slide 11 SID & SNA for Occupations, Sep0911 Example: A sample HISCAM (v0.2) scale l5_c1_s1_t1 = 5-digit, Netherlands, all, whole time period CA percent inertia: 13130 University teachers99Dim 1=11.8% ; Dim2=8.1% 13320 First level teacher68.9Correlation with: 61240 Livestock farmer47.4ISEI = 0.81 (no farm=0.78) 62105 Farm worker39.2Treiman= 0.70 (no farm=0.78) 79420 Garment pattern maker60.1 79510 Hand or machine sewer50.6Father-son correlation: 83920 Gunsmith55.6 0.45 83930 Locksmith52.6( 0.31 ISEI; 0.12 Treiman) 84230 Precision instrument maker62.4 99920 Day Labourer43.1 Slide 12 SID & SNA for Occupations, Sep0912 Slide 13 SID & SNA for Occupations, Sep0913 Slide 14 SID & SNA for Occupations, Sep0914 Slide 15 SID & SNA for Occupations, Sep0915 Slide 16 SID & SNA for Occupations, Sep0916 Contributions: Social interaction distance and occupations CAMSIS is a Social Interaction Distance analysis Homophily The reproduction of social inequality is both exemplified by, and sustained through, social interactions Bottero et al. 2009; Stewart et al. 1980 Explores the overall structure of stratification and social inequality (probabilistic; prevalence) Provides a potential measure of stratification position (there are plenty others..!) Slide 17 SID & SNA for Occupations, Sep0917 2) A social network analysis of occupations The same data on pairs of connections between occupations could be analysed as network links Without any controls, most occupations will have at least one connection with most others in a large dataset Griffiths has explored criteria which define whether occupational connections occur at least k times more often than would be expected given their national prevalance Slide 18 SID & SNA for Occupations, Sep0918 Scotland, 1881, k=2 Slide 19 SID & SNA for Occupations, Sep0919 Scotland, 1881, k=4 Slide 20 SID & SNA for Occupations, Sep0920 USA, 2000, k=2 Slide 21 SID & SNA for Occupations, Sep0921 USA, 2000, k=2, core only Slide 22 SID & SNA for Occupations, Sep0922 Key linking occupations? Analysing the only three links between these groupings further demonstrates the stratification effect. These are all instances involving occupations with structural connections. One is the link between artists and painting workers. The opportunity for interaction between these occupations is clear. There are 56 other occupations bonded to artists and 52 to painting workers. Only three of these links are to both, all involved in woodworking or painting. The remaining ties are largely to others within their CAMSIS quartile. A clustering of painters, frame- makers and art preservation staff can be identified. Whilst few barriers exist between those responsible for the creation, production and presentation of art, it appears they move in differing circles outside of their working lives. (Griffiths & Lambert, 2009, unpublished application) Slide 23 SID & SNA for Occupations, Sep0923 Contributions: Social networks and occupations A social network analysis of national level occupational structures could Explore clusters/boundaries in the stratification system Identify key linking occupations Analytical challenges include Gender effects on occupational connections Age/life-course stage effects Criteria to adjust for prevalence of connections Administrative definitions of occupations Slide 24 SID & SNA for Occupations, Sep0924 3. Project proposal We are hoping to work through the following programme of activities (2010-2012): a)Define and disseminate methodologies of SID and SNA applied to occupational data b)Comparison of networks and SID ranking for at least 6 nations (and probably more) UK, USA, Netherlands, Germany, Sweden, Switzerland c)Exploration of the implications of educational expansion on occupational distance and networks Occupations cross-classified by education Occupational structures at different points in time Slide 25 SID & SNA for Occupations, Sep0925 Our position in summary Social interaction data involving occupations is easy to get Social interaction patterns and networks probably reveal different but related things Both are of interest to exploring the crucial role of occupations in the contours of the social structure Slide 26 SID & SNA for Occupations, Sep0926 References Bottero, W., Lambert, P. S., Prandy, K., & McTaggart, S. (2009). Occupational Structures: The Stratification Space of Social Interaction. In K. Robson & C. Sanders (Eds.), Quantifying Theory: Pierre Bourdieu (pp. 141-150). Amsterdam: Springer Netherlands. Miles, A. (1999). Social Mobility in Nineteenth- and Early Twentieth-Century England. London: Palgrave MacMillan. Minnesota Population Center. (2009). Integrated Public Use Microdata Series - International: Version 5.0. Minneapolis: University of Minnesota. North Atlantic Population Project and Minnesota Population Center. (2008). NAPP: Complete Count Microdata. NAPP Version 2.0 [computer files]. Minneapolis, MN: Minnesota Population Center [distributor] [http://www.nappdata.org] Prandy, K., & Bottero, W. (1998). The use of marriage data to measure the social order in nineteenth-century Britain. Sociological Research Online, 3(1), U43-U54. Prandy, K., & Bottero, W. (2000). Reproduction within and between generations - The example of nineteenth-century Britain. Historical Methods, 33(1), 4-15. Stewart, A., Prandy, K., & Blackburn, R. M. (1980). Social Stratification and Occupations. London: MacMillan. van Leeuwen, M. H. D., Maas, I., & Miles, A. (2002). HISCO: Historical International Standard Classification of Occupations. Leuven: Leuven University Press.