TY - JOUR
T1 - Social dynamics of short term variability in key measures of household and community wellbeing in Bangladesh
AU - Tamal, Md Ehsanul Haque
AU - Bell, Andrew R.
AU - Killilea, Mary E.
AU - Ward, Patrick S.
N1 - Funding Information:
We would like to thank Nafundi for their work in software development, and our partners Banglalink and WIN Incorporated for implementation in the field. We would also like to thank Matthieu Stigler for assisting with data processing. This work was supported by the Cereal Systems Initiative for South Asia (CSISA) of the Consultative Group on International Agricultural Research (CGIAR), with generous funding provided by the United States Agency for International Development (USAID) and the Bill and Melinda Gates Foundation. The authors also acknowledge support from the International Food Policy Research Institute and the CGIAR Collaborative Research Program on Policies, Institutions, and Markets.
Publisher Copyright:
© 2019, The Author(s).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85088027717&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088027717&partnerID=8YFLogxK
U2 - 10.1038/s41597-019-0128-0
DO - 10.1038/s41597-019-0128-0
M3 - Article
C2 - 31316067
AN - SCOPUS:85088027717
SN - 2052-4463
VL - 6
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 125
ER -