(4) #CAMSIS and the Analysis of Social Interaction Distance provides the theoretical underpinning of how studying combinations of occupations can produce a valid and nuanced stratification scheme of the position of each individual occupation (5/14)
May 12, 2025 at 9:48 PM
(4) #CAMSIS and the Analysis of Social Interaction Distance provides the theoretical underpinning of how studying combinations of occupations can produce a valid and nuanced stratification scheme of the position of each individual occupation (5/14)
What is the linear correlation between your measure, C-G & CAMSIS?
November 30, 2024 at 11:41 AM
What is the linear correlation between your measure, C-G & CAMSIS?
Thread giving a chapter-by-chapter overview of Social Inequalities and Occupational Stratification (co-authored with Paul Lambert) #CAMSIS #SNA #SocialInequality
May 12, 2025 at 9:48 PM
Thread giving a chapter-by-chapter overview of Social Inequalities and Occupational Stratification (co-authored with Paul Lambert) #CAMSIS #SNA #SocialInequality
The CAMSIS scale is a significant tool in sociological research that measures social stratification and inter-generational social mobility.
#sociology
#research
easysociology.com/research-met...
#sociology
#research
easysociology.com/research-met...
Unpacking the CAMSIS Scale
The CAMSIS scale is a significant tool in sociological research that measures social stratification and inter-generational social mobility.
easysociology.com
November 17, 2024 at 11:16 AM
The CAMSIS scale is a significant tool in sociological research that measures social stratification and inter-generational social mobility.
#sociology
#research
easysociology.com/research-met...
#sociology
#research
easysociology.com/research-met...
(6) Constructing CAMSIS Scales provides the recipe (and #Stata syntax) for creating a scheme from data on pairs of occupations, managing the data and dealing with pseudo-diagonals (pairings which do not reflect the stratification structure) (7/14)
May 12, 2025 at 9:48 PM
(6) Constructing CAMSIS Scales provides the recipe (and #Stata syntax) for creating a scheme from data on pairs of occupations, managing the data and dealing with pseudo-diagonals (pairings which do not reflect the stratification structure) (7/14)