Social exclusion is often the effect of a process of discrimination or ‘othering’ on the basis of cultural, social and/ or racial identity.

Discriminatory processes may also be reinforced by religion, tradition and cultural practices – as exemplified by India’s caste system – and embedded in dominant social attitudes, behaviours and prejudicial practices. The causes and experiences of different forms of exclusion also combine into complex intersections, as people’s positions are shaped by their standing in relation to the multiple dimensions.

Social exclusion has some powerful advantages for gender analysis: it is dynamic and process-oriented, it enables a focus on the excluded and included as well as the excluders and includers, and it allows for the kind of multilayered analysis that is needed for a better understanding of gender and other complex social relations.

Few studies provide careful examination of the role played by race in social exclusion, poverty, and inequality. This is partly because the subject remains taboo in many countries and as a result, the data that could support such analyses are often lacking.

As with race, the literature on ethnicity and exclusion notes that ethnic differences can result in reduced access to and accumulation of assets and goods, and that exclusion can affect the return on those assets in the labour market. This can have important implications for poverty and wellbeing. Ethnic (as well as racial) exclusion can result from discriminatory institutional rules, as well as social attitudes and practices. This discrimination is particularly problematic when it occurs in public sector organisations, which are responsible for public service provisioning. Creating genuine structures of social inclusion in such contexts is particularly challenging.

The following Article might be helpful for you.

Article Measuring Poverty and Social Exclusion in Australia: A Propo...

I have a couple of suggestions: you may want to adapt how others used social exclusion index in the health context or elderly population context to your study goals. In any case, I believe these readings may be of help:

• van Bergen APL, Loon A van, de Wit MAS, Hoff SJM, Wolf JRLM, van Hemert AM. "Evaluating the cross-cultural validity of the Dutch version of the Social Exclusion Index for Health Surveys (SEI-HS): A mixed-methods study." PLoS ONE. 14(11):1-15. doi:10.1371/journal.pone.0224687.
• "Data on Public Health Reported by Researchers at Leiden University [Social Exclusion Index-for Health Surveys (SEI-HS): a prospective nationwide study to extend and validate a multidimensional social exclusion questionnaire]." In: Health & Medicine Week. 2017, p. 894.
• Van Regenmortel, Sofie; De Donder, Liesbeth; Smetcoren, An-Sofie; Lambotte, Deborah; De Witte, Nico; Verté, Dominique, "Accumulation of Disadvantages: Prevalence and Categories of Old-Age Social Exclusion in Belgium." Social Indicators Research, 140(3):1173-1194. DOI: 10.1007/s11205-017-1817-8.
• Coumans, Moniek; Schmeets, Hans. "The Socially Excluded in the Netherlands: The Development of an Overall Index." Social Indicators Research, 122(3):779-805. DOI: 10.1007/s11205-014-0707-6

Hope this helps. Good luck!

Hi there Shahidul, hope this article can help you to solve your problem , at least I think it might be helpful in the correct way of treating your data. Greetings.

Article Compositional Data Analysis Approach in the Measurement of S...