{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DECDI","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2026-11-02","version":"1"},"project_desc":{"authoring_entity":[{"name":"Alemayehu A. Ambel","affiliation":"World Bank","email":"aambel@worldbankgroup.org"},{"name":"Josh Brubaker","affiliation":"International Fund for Agricultural Development (IFAD)","email":"j.brubaker@ifad.org"},{"name":"Talip Kilic","affiliation":"World Bank","email":"tkilic@worldbankgroup.org"},{"name":"Asmelash Haile Tsegay","affiliation":"World Bank","email":"atsegay@worldbankgroup.org"}],"title_statement":{"title":"Reproducibility package for Measuring Diets At Scale: How Respondent Selection Protocols Shape  Dietary Diversity And Quality Measurement In Surveys","idno":"RR_AFR_2026_801"},"data_statement":"The reproducibility package relies on accessible data. For the source, access type, file location, and citation of each dataset, refer to the Datasets section and the README file.","software":[{"name":"Stata","version":"19.5 MP"}],"scripts":[{"title":"Reproducibility package for Measuring Diets At Scale: How Respondent Selection Protocols Shape  Dietary Diversity And Quality Measurement In Surveys","date":"2026-11","notes":"Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.","instructions":"See README in reproducibility package.","file_name":"RR_AFR_2026_801","zip_package":"RR_AFR_2026_801.zip","dependencies":"Stata dependencies are listed in the ado folder."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"production_date":"2026-11-02","abstract":"This study examines the effects of different respondent selection approaches on the measurement of dietary diversity and quality in household surveys. It uses recently implemented large-scale, nationally representative surveys from Ethiopia and Nigeria that included the Global Diet Quality Questionnaire (DQQ). The study evaluates whether interviewing one randomly chosen adult per household provides results as reliable as interviewing all adults, given the cost and logistical challenges of collecting data from every household member. The analysis considers alternative methods for respondent selection, such as random selection with and without replacement, the use of proxy respondents, and interviewing the household head. Findings show that proxy and non-responses systematically differ from self-responses, introducing bias into the estimates. Similarly, household heads differ from the broader adult population in several key demographic and socioeconomic variables. The study highlights that, when appropriately calibrated and executed in the field, random respondent selection with replacement can produce robust indicators of dietary diversity and quality. These findings offer valuable guidance to national statistical offices and survey practitioners seeking cost-effective yet reliable approaches to individual-level dietary data collection in low- and middle-income countries.","geographic_units":[{"name":"Africa","code":"AFR"}],"keywords":[{"name":"Respondent Selection"},{"name":"Dietary Diversity And Quality"},{"name":"Ethiopia"},{"name":"Nigeria"}],"topics":[{"id":"C81","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Methodology for Collecting, Estimating, and Organizing Microeconomic Data \u2022 Data Access","parent_id":"C8"},{"id":" C83","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Survey Methods \u2022 Sampling Methods","parent_id":"C8"}],"output":[{"type":"Working Paper","description":"Policy Research Working Paper (PRWP)","title":"Measuring Diets At Scale: How Respondent Selection Protocols Shape  Dietary Diversity And Quality Measurement In Surveys"}],"language":[{"name":"English","code":"EN"}],"technology_requirements":"Run time: ~15 minutes","disclaimer":"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.","license":[{"name":"MIT License","uri":"https:\/\/opensource.org\/license\/mit"},{"name":"World Bank IGO Rider","uri":"https:\/\/github.com\/worldbank\/metadata-editor\/blob\/main\/WB-IGO-RIDER.md"}],"contacts":[{"name":"Alemayehu A. Ambel","affiliation":"World Bank","email":"aambel@worldbankgroup.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"datasets":[{"name":"Ethiopia Socioeconomic Panel Survey, Wave 5 (ESPS-5) 2021-2022","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/6161","access_type":"Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.","note":"Not included in this package. The Microdata Library distributes these files as public use data, which may not be redistributed. For more details, please refer to the README file.","license":"Public Use Files","citation":"Ethiopian Statistical Service. Ethiopia Socioeconomic Panel Survey, Wave 5 (ESPS-5) 2021-2022. Public Use Dataset. Ref: ETH_2021_ESPS-W5_v03_M. Downloaded from https:\/\/microdata.worldbank.org\/index.php\/catalog\/6161 in August 2025.","license_uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/6161#data_access"},{"name":"Nigeria General Household Survey, Panel (GHS-Panel) Wave 5 2023-2024","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/6410","access_type":"Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.","note":"Not included in this package. The Microdata Library distributes these files as public use data, which may not be redistributed. For more details, please refer to the README file.","license":"Public Use Files","citation":"National Bureau of Statistics. Nigeria General Household Survey, Panel (GHS-Panel) Wave 5 2023-2024. Public Use Dataset. Ref: NGA_2023_GHSP-W5_v02_M. Downloaded from https:\/\/microdata.worldbank.org\/index.php\/catalog\/6410 in August 2025.","license_uri":"https:\/\/microdata.worldbank.org\/catalog\/6410\/study-description#data_access"}],"reproduction_instructions":"To reproduce the findings in this paper, a replicator must:\n1. **Secure Access to Data:** Access the datasets not included in the package. See the Datasets section for more details.\n2. **Run the Package:**\n  - In the do-file  `commander`, replace the Stata username with your own (line 32), set the paths to the Ethiopia and Nigeria data folders (lines 35 and 36) and update the working directory (line 41), then run it.\n\nSince the data is not included, the package includes the results produced by replicators. These files can be used to review the results presented in the paper.","technology_environment":" Paper exhibits were reproduced on a computer with the following specifications:\n - OS: Windows 11 Enterprise\n - Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz (2.90 GHz) (2 processors) \n - Memory: 16 GB"},"datacite":{"creators":[{"givenName":"Alemayehu A.","familyName":"Ambel","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Josh","familyName":"Brubaker","nameType":"Personal","affiliation":[{"name":"International Fund for Agricultural Development (IFAD)","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Talip","familyName":"Kilic","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Asmelash Haile","familyName":"Tsegay","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]}],"titles":[{"lang":"en","title":"Reproducibility package for Measuring Diets At Scale: How Respondent Selection Protocols Shape  Dietary Diversity And Quality Measurement In Surveys"},{"title":"RR_AFR_2026_801","titleType":"Other"}],"publisher":"World Bank","publicationYear":"2026","types":{"resourceType":"Reproducibility package","resourceTypeGeneral":"Other"},"url":"https:\/\/reproducibility.worldbank.org\/index.php\/catalog\/study\/RR_AFR_2026_801","language":"en"},"tags":[{"tag":"Accessible data"},{"tag":"DOI"},{"tag":"Open Code"}],"schematype":"script"}