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Students and COVID-19

AT A GLANCE

Survey data on the impact of COVID-19 lockdown on students in India's Delhi NCR region. Covers health status, dietary patterns, and screen time with multiple variable types including free-response qualitative fields.

Key Highlights: - Population: Students at educational institutions in Delhi NCR, India - Period: 2020–2021 (COVID-19 lockdown) - Variables: Binary, interval, categorical, plus two free-response fields - Package: README, codebook, and raw survey data


PROJECT DESCRIPTION

Researchers can code the free-text responses at whatever level of granularity they choose. The dataset is valuable for educational professionals studying online class effectiveness and for child psychology researchers investigating the mental and behavioral effects of prolonged lockdown on school-age and college-age students.

Research Applications: - Online education effectiveness during COVID-19 - Child and adolescent psychology during lockdown - Dietary and screen time behavior changes - Qualitative free-response text analysis

Subject Terms: COVID-19, students, India, online education, child psychology, dietary patterns, screen time, lockdown, Delhi NCR


SCOPE & METHODOLOGY

  • Geographic Coverage: Delhi National Capital Region (NCR), India
  • Smallest Geographic Unit: Individual student
  • Time Period: 2020–2021
  • Universe: Students at educational institutions in Delhi NCR, India
  • Unit of Observation: Individual student
  • Data Type: Survey data

Data Collection: Survey data collected from students at Delhi NCR educational institutions during the COVID-19 lockdown. Documentation includes README, codebook, and raw survey data.


CITATION

University of Maryland, College of Behavioral and Social Sciences [distributor]. Students and COVID-19 (India). BSOS Social Science Data Repository, 2026. https://bsos-data.umd.edu/dataset/students-and-covid-19-inia


FILES & DOCUMENTATION

Available: - readme_covid_student (PDF) - codebook_covid_student (XLSX) - dataset_covid_student (XLSX)

Planned Additions: - Data Dictionary — Binary health indicators, dietary frequency scales, screen time measures - Blank Questionnaire — Original survey instrument

Data and Resources