In a large-scale experiment in rural Nigeria, we study the role of survey mode — in-person vs. over the phone — for survey measurement and data quality. Our experimental design isolates mode effects from other common sources of errors in surveys and covers twenty outcome measures across topics such as health, labor, shocks, wellbeing, and food security. We consistently find mode effects across outcomes, with phone responses differing from in-person responses by up to 63%, and a median difference of 17–18%. We document that these effects are large relative to other errors in phone surveys such as undercoverage of households without phones. Using a within-respondent design, we measure the full, respondent-level distribution of mode effects and find them to vary much more than averages let on. Respondents with higher education levels are less prone to mode effects whereas mode effects sharply increase in prevalence as respondents face more answer options. We present evidence that mode effects are driven by lower cognitive engagement of respondents over the phone. Given the growing reliance on phone surveys in LMICs, our findings provide novel guidance for survey design and advance the research frontier on how survey mode influences measurement.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: Intel(R) Xeon(R) Gold 5218 CPU @2.30GHz
• Memory available: 6 GB
• Software version: Stata 18.5 MP
The code takes approximately 5 minutes to run.
To run the package:
MasterDofile_ModeEffectsNigeria.do, update the global directory path, and set your user number as indicated in the script.Data is forthcoming in the World Bank Microdata Library, and is not included in the reproducibility package. Some data is restricted and not included in the reproducibility package. For more details, please refer to the individual data entries and the README file.
| Author | Affiliation | |
|---|---|---|
| Philip Wollburg | World Bank | pwollburg@worldbank.org |
| Pauline Castaing | World Bank | pcastaing@worldbank.org |
| Ivette Contreras | World Bank | icontreras@worldbank.org |
| Yannick Markhof | ETH Zürich, World Bank | ymarkhof@ethz.ch |
| Akiko Sagesaka | World Bank | asagesaka@worldbank.org |
| Amparo Palacios-Lopez | World Bank | apalacioslopez@worldbank.org |
2025-11-20
| Location | Code |
|---|---|
| Nigeria | NGA |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Philip Wollburg | The World Bank | pwollburg@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
2025-11-20
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