Multi-Way Multi-Group Segregation and Diversity Indices

Background: How can we compute a segregation or diversity index from a three-way or multi-way contingency table, where each variable can take on an arbitrary finite number of values and where the index takes values between zero and one? Previous methods only exist for two-way contingency tables or dichotomous variables. A prototypical three-way case is the segregation index of a set of industries or departments given multiple explanatory variables of both sex and race. This can be further extended to other variables, such as disability, number of years of education, and former military service. Methodology/Principal Findings: We extend existing segregation indices based on Euclidean distance (square of coefficient of variation) and Boltzmann/Shannon/Theil index from two-way to multi-way contingency tables by including multiple summations. We provide several biological applications, such as indices for age polyethism and linkage disequilibrium. We also provide a new heuristic conceptualization of entropy-based indices. Higher order association measures are often independent of lower order ones, hence an overall segregation or diversity index should be the arithmetic mean of the normalized association measures at all orders. These methods are applicable when individuals selfidentify as multiple races or even multiple sexes and when individuals work part-time in multiple industries. Conclusions/Significance: The policy implications of this work are enormous, allowing people to rigorously test whethe

A Review of occupation-based social classifications for social survey research

This article is a review of issues associated with measuring occupations and using occupation-based socio-economic classifications in social science research. The review is orientated towards researchers who undertake secondary analysis of large-scale micro-level social science datasets. This article begins with an outline of how to handle raw occupational information. This is followed by an introduction to the two main approaches to measuring occupations and a third lesser known but intellectually innovative approach. The three approaches are social class schemes, social stratification scales and the microclass approach. International comparisons are briefly described and a discussion of intersectionality with other key variables such as age and gender is provided. We are careful to emphasise that this article does not advocate the uncritical adoption of any one particular occupation-based socio-economic measure over and above other alternatives. Rather, we are advocating that researchers should choose from the portfolio of existing socio-economic measures in an informed and empirically defensible way, and we strongly advocate undertaking sensitivity analyses. We conclude that researchers should always use existing socio-economic measures that have agreed on and well-documented standards. We strongly advise researchers not to develop their own measures without strong justification nor to use existing measures in an un-prescribed or ad hoc manner

What can health inequalities researchers learn from an intersectionality perspective?:Understanding social dynamics with an inter-categorical approach

The concept of intersectionality was developed by social scientists seeking to analyse the multiple interacting influences of social location, identity and historical oppression. Despite broad take-up elsewhere, its application in public health remains underdeveloped. We consider how health inequalities research in the United Kingdom has predominantly taken class and later socioeconomic position as its key axis in a manner that tends to overlook other crucial dimensions. We especially focus on international research on ethnicity, gender and caste to argue that an intersectional perspective is relevant for health inequalities research because it compels researchers to move beyond (but not ignore) class and socioeconomic position in analysing the structural determinants of health. Drawing on these theoretical developments, we argue for an inter-categorical conceptualisation of social location that recognises differentiation without reifying social groupings – thus encouraging researchers to focus on social dynamics rather than social categories, recognising that experiences of advantage and disadvantage reflect the exercise of power across social institutions. Such an understanding may help address the historic tendency of health inequalities research to privilege methodological issues and consider different axes of inequality in isolation from one another, encouraging researchers to move beyond micro-level behaviours to consider the structural drivers of inequalities

Occupational Stratification in Contemporary Britain: Occupational Class and the Wage Structure in the Wake of the Great Recession

Occupations traditionally played a central role in stratification accounts. In the wake of the Great Recession, debates regarding the extent and nature of occupational stratification have been reinvigorated. An exploration of occupational wage stratification patterns defined by both detailed occupational unit groups and the broader occupational class categories of the National Statistics Socio-Economic Classification (NS-SEC) reveals the proportion of wage inequality between occupations and occupational classes has remained broadly stable 1997 to 2015. No compelling evidence is found for growing wage inequalities between detailed occupations within NS-SEC categories. This article underlines the continued utility of occupations and particularly the NS-SEC grouping of them in describing the structure of stratification in contemporary Britain