Development of an Index in Social Science: A Systematic Literature Review
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.3.09Keywords:
Social sciences, Analytic hierarchy process, Principal component analysisDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
In the social sciences, indices are vital tools for summarizing and interpreting complex social phenomena by aggregating various indicators into a composite measure. This systematic literature review explores the methodologies employed in developing such indices, emphasizing the challenges of operationalizing abstract social concepts like well-being and inequality. The review identifies common practices in selecting and weighting indicators, with methodologies ranging from simple equal weighting to advanced statistical techniques like Principal Component Analysis (PCA) and the Analytic Hierarchy Process (AHP). Despite the widespread use of these indices, academic literature on their development remains sparse, with much of the existing work carried out by agencies rather than academic researchers. This review fills this gap by analyzing diverse studies across different social science domains, offering insights into best practices for future research. The findings underscore the importance of methodological rigor in ensuring the validity and reliability of indices, which are increasingly relied upon to inform policy and guide social interventions.Abstract
How to Cite
Downloads
Similar Articles
- O. Devipriya, K. Kungumaraj, Enhancing cloud efficiency: an intelligent virtual machine selection and migration approach for VM consolidation , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Aishwarya Jha, Jyoti Gangta, Neha Kapur, Comparison of anterior corneal aberrometry, keratometry and pupil size with Scheimpflug tomography and ray tracing aberrometer in moderate and high refractive error , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Nandini S, Nagabushanam M, Nandeesh G S, Sundaresha M P, Pramodkumar S, Segmentation of Brain Tumor from Magnetic Resonance Imaging using Handcrafted Features with BOA-based Transformer , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Alpana Parmar, Ashok Kumar, Arvind Kumar Sharma, LENGTH-WEIGHT RELATIONSHIP OF FRESH WATER FISH LABEO BATA (HAM.) FROM RIVER GHAGHRA , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
- Priydarshi Shireesh, Tiwari Atul Kumar, Singh Prashant, Rai Kumud, Mishra Dev Brat, Comparative Water Quality Analysis in Beso River in District Jaunpur, Azamgarh and Ghazipur Uttar Pradesh , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Pratibha Baluni, Priya Kathait, Pankaj Bahuguna, C. B. Kotnala, Rajesh Rayal, Analysis of Riparian Vegetation Diversity at Khanda Gad Stream, Garhwal Himalaya, Uttarakhand, India , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Swetha Rajkumar, Subasree Palanisamy, Online detection and diagnosis of sensor faults for a non-linear system , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- B.V.Thacker, G.P. Vadodaria, G.V. Priyadarshi, M.H. Trivedi, Biopolymer-based fly ash-activated zeolite for the removal of chromium from acid mine drainage , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Ravi Chaware, Sajid Anwar, Sunil Prayagi, Thermoelastic response of a finite thick annular disc with radiation-type conditions via time fractional-order effects , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Kavitha V, Panneer Arokiaraj S., RPL-eSOA: Enhancing IoT network sustainability with RPL and enhanced sandpiper optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 41 42 43 44 45 46 47 48 49 50 > >>
You may also start an advanced similarity search for this article.

