Social dynamics of short term variability in key measures of household and community wellbeing in Bangladesh

Abstract

High-frequency social data collection may facilitate improved recall, more inclusive reporting, and improved capture of intra-period variability. Although there are examples of small studies collecting particular variables at high frequency in the social science literature, to date there have been no significant efforts to collect a wide range of variables with high frequency. We have implemented the first such effort with a smartphone-based data collection approach, systematically varying the frequency of survey task and recall period, allowing the analysis of the relative merit of high-frequency data collection for different key variables in household surveys. This study of 480 farmers from northwestern Bangladesh over approximately one year of continuous data on key measures of household and community wellbeing could be particularly useful for the design and evaluation of development interventions and policies. While the data discussed here provide a snapshot of what is possible, we also highlight their strength for providing opportunities for interdisciplinary research in the household agricultural production, practices, seasonal hunger, etc., in a low-income agrarian society.

Abstract

Design Type(s)	observation design • time series design • behavioral data analysis objective
Measurement Type(s)	Quality of Life
Technology Type(s)	crowd-sourced data generation
Factor Type(s)	frequency • geographic location
Sample Characteristic(s)	Homo sapiens • Rangpur District • rural area

Machine-accessible metadata file describing the reported data (ISA-Tab format)