Improving consumption measurement and other survey data through CAPI: Evidence from a randomized experiment

Caeyers, Bet; Chalmers, Neil; Weerdt, Joachim De

doi:10.1016/j.jdeveco.2011.12.001

Cited by 75 publications

(69 citation statements)

References 13 publications

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“…This is a particularly tedious process and a potential source of mistakes. While the advent of computer-assisted personal interviewing (CAPI) holds the potential to reduce such errors (Caeyers et al 2012) in the short-run, for a number of reasons paperbased surveys will continue to be a common method used in low-income countries.…”

Section: Interviewer or Data Entry Errormentioning

confidence: 99%

The Challenge of Measuring Hunger through Survey

Weerdt

Beegle²,

Friedman³

et al. 2016

Economic Development and Cultural Change

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There is widespread interest in estimating the number of hungry people in the world and trends in hunger. Current global counts rely on combining each country's total food balance with information on distribution patterns from household consumption expenditure surveys. Recent research has advocated for calculating hunger numbers directly from these same surveys. For either approach, embedded in this effort are a number of important details about how household surveys are designed and how these data are then used. Using a survey experiment in Tanzania, this study finds great fragility in hunger counts stemming from alternative survey designs. As a consequence, comparable hunger numbers will be lacking until more effort is made to either harmonize survey designs or better understand the consequences of survey design variation. JEL Codes: C88, O12, Q18

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Section: Interviewer or Data Entry Errormentioning

confidence: 99%

The Challenge of Measuring Hunger through Survey

Weerdt

Beegle²,

Friedman³

et al. 2016

Economic Development and Cultural Change

Self Cite

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“…The CAPI application automatically linked the consumption section to the agricultural section so the interviewer could probe carefully for consumption from home-produced foods. Caeyers, Chalmers, and De Weerdt (2012) discuss multiple other advantages of CAPI for collecting consumption data. The final consumption aggregate includes purchased and home-produced food, as well as food eaten outside of the household.…”

Section: Datamentioning

confidence: 99%

Asymmetry of Information within Family Networks

2018

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This paper studies asymmetry of information and transfers within a unique data set of 712 extended family networks from Tanzania. Using cross-reports on asset holdings, we construct measures of misperception of income among all pairs of households belonging to the same network. We show that there is significant asymmetry of information and no evidence of major systematic over-evaluation or under-evaluation of income in our data, although there is a slight over-evaluation on the part of migrants regarding non-migrants. We develop a static model of asymmetric information that contrasts altruism, pressure and exchange as motives to transfer. The model makes predictions about the correlations between misperceptions and transfers under these competing explanations.Testing these predictions in the data uncovers the active role played by the recipient. Our findings suggest that the recipient sets the terms of the transfers, either by exerting pressure to give on the donor or by holding the bargaining power during the exchange of services with the donor. JEL Classification Numbers: O12, O15, D12

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“…In CAPI, skip patterns are automated-enumerators are not required to navigate the survey themselves-and this not only simplifies survey progress, but it also reduces data entry errors and missing responses [19]. This simplification and increased efficiency is believed to increase the speed at which surveys can be administered [20,21], without compromising data collection accuracy [22]. While some studies have reported that CAPI surveys take longer to complete [23] it has been posited that this is a function of survey design and study methodology [20], which have greatly improved over time through technology development [21].…”

Section: Introductionmentioning

confidence: 99%

“…This simplification and increased efficiency is believed to increase the speed at which surveys can be administered [20,21], without compromising data collection accuracy [22]. While some studies have reported that CAPI surveys take longer to complete [23] it has been posited that this is a function of survey design and study methodology [20], which have greatly improved over time through technology development [21]. These advancements of CAPI methods and digital survey platforms, such as SurveyCTO, have made it possible to develop and implement complex WaSH surveys that were previously believed to be too time consuming and too complex to be practical using PAPI methods.…”

Section: Introductionmentioning

confidence: 99%

Investigating Multiple Household Water Sources and Uses with a Computer-Assisted Personal Interviewing (CAPI) Survey

MacDonald

Elliott

Chan³

et al. 2016

Water

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Abstract:The investigation of multiple sources in household water management is considered overly complicated and time consuming using paper and pen interviewing (PAPI). We assess the advantages of computer-assisted personal interviewing (CAPI) in Pacific Island Countries (PICs). We adapted an existing PAPI survey on multiple water sources and expanded it to incorporate location of water use and the impacts of extreme weather events using SurveyCTO on Android tablets. We then compared the efficiency and accuracy of data collection using the PAPI version (n = 44) with the CAPI version (n = 291), including interview duration, error rate and trends in interview duration with enumerator experience. CAPI surveys facilitated high-quality data collection and were an average of 15.2 min faster than PAPI. CAPI survey duration decreased by 0.55% per survey delivered (p < 0.0001), whilst embedded skip patterns and answer lists lowered data entry error rates, relative to PAPI (p < 0.0001). Large-scale household surveys commonly used in global monitoring and evaluation do not differentiate multiple water sources and uses. CAPI equips water researchers with a quick and reliable tool to address these knowledge gaps and advance our understanding of development research priorities.

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Improving consumption measurement and other survey data through CAPI: Evidence from a randomized experiment

Cited by 75 publications

References 13 publications

The Challenge of Measuring Hunger through Survey

The Challenge of Measuring Hunger through Survey

Asymmetry of Information within Family Networks

Investigating Multiple Household Water Sources and Uses with a Computer-Assisted Personal Interviewing (CAPI) Survey

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