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There is a vast literature on how incentives affect response rates as well as response quality in cross-sectional (one point in time) and longitudinal surveys (repeated observations) in higher-income countries. However, there is more limited evidence around applicability to lower- and medium- income countries (LMICs). IPA Colombia tested how the effect of an increase in incentive size affects response rates, response quality, and response distributions. Consistent with prior research, they found no significant differences in response rates, item non-response, and no pattern of differences in responses when incentive amounts were increased.

Country:
Type:
Phone Survey Methods Resource
Date:
January 25, 2021
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Standard quality control procedures for face-to-face surveys use a set of techniques to measure data quality including resurveying respondents on a subset of questions (“backchecking”), accompanying enumerators during the start of the survey to target retraining, and a set of automated data checks. The pivot to remote survey modes made some of these quality control processes impossible to implement.
 
IPA Colombia piloted a data quality review system meant to improve retention rates and response quality during a high-frequency computer-assisted telephone interview (CATI) that lasted eight days. Due to concerns about low response rate in the follow-up, the project team elected to not backcheck surveys, where researchers resurvey a random subset of respondents to estimate data quality measures. Instead, the project team leveraged audio metadata and double entry from audio recordings to identify potential errors and areas of improvement for interviewer retraining.
Country:
Type:
Phone Survey Methods Resource
Date:
January 25, 2021
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Researchers often have a database of addresses as a starting point for sampling design. They often want to sample from some geographic unit like a neighborhood. To do this, they need geospatial data, which is a set of coordinates that represent the boundaries of the geographic unit, and software capable of locating these coordinates. This is called geolocation. This brief describes the performance of two tools that IPA Colombia used to sample respondents based on geolocated data. The Google Geolocation API and QGIS outperformed ArcGIS in terms of geolocation accuracy by a substantive margin
Country:
Type:
Phone Survey Methods Resource
Date:
January 25, 2021
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The “Proyecto Mi Barrio” research project based in Medellín, Colombia conducted phone surveys over a one-month period during the COVID-19 pandemic. The survey aimed to analyze how organized crime groups were responding to the pandemic. To ensure that the sample was representative of the full set of neighborhoods, or barrio, the project used quota sampling, where a set number of respondents from each neighborhood was targeted to be surveyed. The research team fully automated this process in SurveyCTO to reduce sources of error. 
Country:
Type:
Phone Survey Methods Resource
Date:
January 25, 2021
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Researchers study the impact of money on households during the COVID-19 pandemic. In March 2020, Colombia rolled out a new unconditional cash transfer (UCT) to one million households in poverty worth $19 (PPP $55.6) and paid every 5-8 weeks. Using an RCT and linked administrative and survey data, they find the UCT had positive (albeit modest) effects on measures of household well-being (e.g., financial health, food access). Moreover, the UCT boosted support for emergency assistance to households and firms during the crisis and promoted social cooperation. Finally, they explore the bottlenecks in expanding mobile money during a pandemic.

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Working Paper
Date:
November 30, 2020
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This presentation summarizes findings related to the impact of COVID-19 on food security and hunger, based on Round 1 of the RECOVR Survey. Countries surveyed: Burkina Faso, Côte d’Ivoire, Ghana, Rwanda, Sierra Leone, Zambia, Colombia, Mexico, and the Philippines.

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Topics:
Type:
Report
Date:
November 03, 2020

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