Table 1 Description of variables included in the study
Variable name | Variable type | Coding/description |
|---|---|---|
Outcome variables | Â | Â |
Knowledge of sexual intercourse & pregnancy | Binary | Insufficient knowledge = 0; Sufficient knowledge = 1 |
Knowledge of contraceptive methods | Binary | Insufficient knowledge = 0; Sufficient knowledge = 1 |
Knowledge of HIV/AIDS | Binary | Insufficient knowledge = 0; Sufficient knowledge = 1 |
Main predictor variable | Â | Â |
Exposure to social media | Binary | Not exposed = 0; Exposed = 1 |
Explanatory variables | Â | Â |
Age of respondents | Categorical | 15–19 in wave-1 (2015–16) (they were 18–22 in wave-2, 2018–19) |
Place of residence | Categorical | Urban = 1; Rural = 2 |
Caste | Categorical | SC = 1; ST = 2; OBC = 3; General = 4 |
Religion | Categorical | Hindu = 1; Muslim = 2; Others = 3 |
Education | Categorical | Completed years of schooling categorized into four groups: No education/illiterate = 1; Primary (0–5 years of schooling) = 2; Secondary (6–12 years of schooling) = 3; Higher (13 + years of schooling) = 4 |
Paid work in last year | Binary | No = 0; Yes = 1 |
Marital status | Categorical | Unmarried = 1 Married = 2 |
Wealth quintile | Categorical | Household wealth is measured from possession of durable goods and amenities such as agricultural land, access to toilet and electricity, television, car, bicycle, sewing machine, etc. Wealth scores—ranging from 3 to 55—divided into 5 quintiles, from the lowest (poorest) to highest (richest) |
States | Categorical | Uttar Pradesh = 1; Bihar = 2 |