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Increased Age Heaping in Mobile Phone Surveys Conducted in Low-Income and Middle-Income Countries

Datos Bibliográficos

ID2424249
AutoresHelleringer (0000-0002-5921-9651, New York University Abu Dhabi, autor de correspondencia), Samantha W Lau (New York University Abu Dhabi), Shammi Luhar (0000-0003-2165-3142, London School of Hygiene & Tropical Medicine), Jethro Banda (0000-0001-8075-8564, London School of Hygiene & Tropical Medicine), Bruno Lankoandé (Institut Superieur Des Sciences De La Population), Malebogo Tlhajoane (0000-0002-0601-5516, London School of Hygiene & Tropical Medicine), Georges Reniers (0000-0001-6582-1692, London School of Hygiene & Tropical Medicine)
Año2023
Volumen9
Fecha de publicación2023-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocius Sociological Research for a Dynamic World (JOURNAL)
Identificadores de la revistaISSN: 2378-0231 • E-ISSN: 2378-0231
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/23780231231158766
OpenAlexW4323780689
IdiomaEN
Citas recibidas6
Referencias citadas6

Since the beginning of the coronavirus disease 2019 pandemic, the number of surveys conducted remotely by mobile phone in low-income and middle-income countries has increased rapidly. This shift has helped sustain data collection despite restrictions on mobility and interactions. It might also allow collecting data more frequently on important demographic and socioeconomic topics. However, conducting interviews by mobile phone might affect the accuracy of reported data, for example, if respondents have difficulties understanding questions asked remotely, or data collectors have less time to probe and cross-check answers. In this visualization, the authors explore time trends in age heaping, a strong signal of reporting errors, in six African countries. They show that mobile phone surveys have generated noisier data on age than recent household surveys and censuses, thus possibly affecting researchers' understanding of demographic processes and confounding multivariate analyses of socioeconomic outcomes

Affect (linguistics · Coronavirus disease 2019 (COVID-19 · Data collection · Disease · Geography · Mobile phone · Pandemic · Phone · Population · Socioeconomic status · Sociology · Statistics · Telecommunications · Computer Science · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Demography · Human Mobility and Location-Based Analysis · Medicine · Psychology

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Obras citantes distintas6
Citas por año3
Intervalo de citas2024 - 2026 (3)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 6
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