Measuring Social Exclusion on the Basis of Development Programmes: Construction of Scale and Exclusion Index

Dr. Sugata Sen

Measuring Social Exclusion on the Basis of Development Programmes: Construction of Scale and Exclusion Index

Authors: Dr. Sugata Sen

Unique Paper ID: 166091
Volume: 11
Issue: 2
PageNo: 52-62

Keywords: Social Exclusion social characteristics social spheres domains of exclusion indicators binary dummy variables Cartesian space Euclidian measurement index stratified random sampling OLS regression hypothesis testing Cronbachâ€™s Alpha.

Abstract:
Social exclusion is one of the greatest threats of our contemporary world. It is a process that revolves around societal institutions to exclude, discriminate against, isolate and deprive groups or individuals on the basis of identities such as caste, ethnicity, religion, gender, location of residence, academic status, income etc. in various spheres of society, polity, and economy. This work evolves a measure to quantify the extent of social exclusion in the sphere of development programmes and develops an index of social exclusion from development programmes. Constructed scale is tested over a sample of households to examine its reliability and to find the nature of exclusion. Different statistical and mathematical tools have been used to construct the measure. The constructed measure is tested on a sample of 320 households chosen through multi-stage stratified random sampling. Sample data are used to find the level of exclusion of each household within the sample on the basis of this measure. With the help of different statistical and econometric tools the scale is also used to examine the nature of social exclusion from development programmes in India. This scale can be used in a greater spectrum to quantify the qualitative concept of social exclusion.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 2
PageNo: 52-62

Measuring Social Exclusion on the Basis of Development Programmes: Construction of Scale and Exclusion Index

Available:https://ijirt.org/Article?manuscript=166091

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Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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