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Wealth quintile variable has been computed in this study to measure the economic status of the respondents, which is commonly used in the cross-sectional surveys.39 Authors have followed the standard DHS framework to compute the wealth variable using principal component analysis.40 This is a common computation method of creating wealth index variable where households are given scores based on the number and kinds of consumer goods it owned, ranging from electricity connectivity, flush toilet, fixed telephone, cell telephone, television, radio, car, refrigerator, scooter or motor cycle, washing machine, computer or laptop, internet connection, air conditioner and electric fan

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Online and phone surveys had similar incentive costs per completed survey