The data quality debate on Indian surveys should be more responsible
Siddhesh Zadey1, Parth Sharma2, Pushkar Nimkar3
1Association for Socially Applicable Research, Pune; Dr. D.Y. Patil Medical College, Hospital, and Research Centre, Pune, Maharashtra, INDIA.
Indian Journal of Medical Ethics
|February 20, 2024
Summary
Data quality concerns in National Sample Surveys (NSS) and National Family Health Surveys (NFHS) include rural population overestimation and biased response rates. These issues may inaccurately portray national development, underrepresenting urbanization and wealth growth.
Area of Science:
- Socioeconomic data collection
- Survey methodology and data quality
Background:
- National Sample Surveys (NSS) and National Family Health Surveys (NFHS) data quality is under scrutiny.
- Concerns include overestimation of rural populations and higher response rates among poorer wealth groups.
Discussion:
- These methodological issues raise technical concerns regarding the generalizability of survey findings.
- A political argument suggests these biases skew results, portraying the nation as worse off than reality.
Key Insights:
- Survey data may not accurately reflect recent urbanization trends.
- Wealth generation and economic growth might be underrepresented in current survey analyses.
Outlook:
- Further research is needed to address data quality and generalizability.
- Methodological improvements are crucial for accurate socioeconomic assessments.
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