2022
DOI: 10.1007/s10708-022-10592-w
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Regional disparities in social development: A case of selected districts in Kerala, India

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Cited by 5 publications
(13 citation statements)
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“…Selection of variables or indicators is an essential process of inequality studies, especially those belonging to the second typology of social inequality, which uses several variables to capture development status. However, the majority of studies in inequality research selected the variables either from existing national/local databases or through literature surveys, which were finalized through an expert opinion survey (Aneja, 2013; Boeckhout & McClements, 2010; Kallingal & Firoz C, 2017a, 2022; Naidu, 2000; Rana et al, 2020; Sam & Chakma, 2016; Soares et al, 2003). Owing to the non‐availability of varied methods for variable selection in the inequality research, a literature search was carried out in other fields, such as environment, sustainable development and health.…”
Section: Results and Findings: Part 1 – Formulating Methodological Fr...mentioning
confidence: 99%
See 4 more Smart Citations
“…Selection of variables or indicators is an essential process of inequality studies, especially those belonging to the second typology of social inequality, which uses several variables to capture development status. However, the majority of studies in inequality research selected the variables either from existing national/local databases or through literature surveys, which were finalized through an expert opinion survey (Aneja, 2013; Boeckhout & McClements, 2010; Kallingal & Firoz C, 2017a, 2022; Naidu, 2000; Rana et al, 2020; Sam & Chakma, 2016; Soares et al, 2003). Owing to the non‐availability of varied methods for variable selection in the inequality research, a literature search was carried out in other fields, such as environment, sustainable development and health.…”
Section: Results and Findings: Part 1 – Formulating Methodological Fr...mentioning
confidence: 99%
“…Similarly, current research suggested using PCA in inequality studies, which used several variables and a large population/sample size for composite index creation, with an objective of component‐wise interpretation and exploring variations in sub‐indicators (Aneja, 2013; Ayyoob & Krishnadas, 2016; Kallingal, 2017; Kallingal & Firoz C, 2017a, 2022; Odoi et al, 2005; Sruthi Krishnan & Firoz C, 2020; Vyas & Kumaranayake, 2006). PCA explains the variance of the observed data (say, for example, Z variables‐ x 1 , x 2 , x 3 ….…”
Section: Results and Findings: Part 1 – Formulating Methodological Fr...mentioning
confidence: 99%
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