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MAKING THE MOST OF IMPERFECT DATA: A CRITICAL EVALUATION OF STANDARD INFORMATION COLLECTED IN FARM HOUSEHOLD SURVEYS

Published online by Cambridge University Press:  18 December 2018

SIMON FRAVAL Open the ORCID record for SIMON FRAVAL [Opens in a new window] ,
JAMES HAMMOND ,
JANNIKE WICHERN ,
SIMON J. OOSTING ,
IMKE J. M. DE BOER ,
NILS TEUFEL ,
MATS LANNERSTAD ,
KATHARINA WAHA ,
TIM PAGELLA  and
TODD S. ROSENSTOCK
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SIMON FRAVAL*
Affiliation:
International Livestock Research Institute (ILRI), P.O. Box 30709, Nairobi 00100, Kenya Animal Production Systems group, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
JAMES HAMMOND
Affiliation:
International Livestock Research Institute (ILRI), P.O. Box 30709, Nairobi 00100, Kenya International Centre for Research on Agroforestry (ICRAF), Nairobi 00100, Kenya
JANNIKE WICHERN
Affiliation:
Plant Production Systems group, Wageningen University & Research, P.O. Box 430, 6700 AK, Wageningen, The Netherlands
SIMON J. OOSTING
Affiliation:
Animal Production Systems group, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
IMKE J. M. DE BOER
Affiliation:
Animal Production Systems group, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
NILS TEUFEL
Affiliation:
International Livestock Research Institute (ILRI), P.O. Box 30709, Nairobi 00100, Kenya
MATS LANNERSTAD
Affiliation:
Independent Consultant, 115 23 Stockholm, Sweden
KATHARINA WAHA
Affiliation:
Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), 306 Carmody Road, St Lucia, QLD 4067, Australia
TIM PAGELLA
Affiliation:
School of Environment, Natural Resources and Geography, Bangor University, Deiniol Road, Bangor, Gwynedd LL57 2UW, UK
TODD S. ROSENSTOCK
Affiliation:
International Centre for Research on Agroforestry (ICRAF), Nairobi 00100, Kenya
KEN E. GILLER
Affiliation:
Plant Production Systems group, Wageningen University & Research, P.O. Box 430, 6700 AK, Wageningen, The Netherlands
MARIO HERRERO
Affiliation:
Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), 306 Carmody Road, St Lucia, QLD 4067, Australia
DAVID HARRIS
Affiliation:
International Centre for Research on Agroforestry (ICRAF), Nairobi 00100, Kenya
MARK T. VAN WIJK
Affiliation:
International Livestock Research Institute (ILRI), P.O. Box 30709, Nairobi 00100, Kenya
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Summary

Household surveys are one of the most commonly used tools for generating insight into rural communities. Despite their prevalence, few studies comprehensively evaluate the quality of data derived from farm household surveys. We critically evaluated a series of standard reported values and indicators that are captured in multiple farm household surveys, and then quantified their credibility, consistency and, thus, their reliability. Surprisingly, even variables which might be considered ‘easy to estimate’ had instances of non-credible observations. In addition, measurements of maize yields and land owned were found to be less reliable than other stationary variables. This lack of reliability has implications for monitoring food security status, poverty status and the land productivity of households. Despite this rather bleak picture, our analysis also shows that if the same farm households are followed over time, the sample sizes needed to detect substantial changes are in the order of hundreds of surveys, and not in the thousands. Our research highlights the value of targeted and systematised household surveys and the importance of ongoing efforts to improve data quality. Improvements must be based on the foundations of robust survey design, transparency of experimental design and effective training. The quality and usability of such data can be further enhanced by improving coordination between agencies, incorporating mixed modes of data collection and continuing systematic validation programmes.

Type
Research Article
Information
Experimental Agriculture , Volume 55 , Special Issue 2: Themed Issue: Contested Agronomy , April 2019 , pp. 230 - 250
Copyright
Copyright © Cambridge University Press 2018 

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