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Linganisha mbinu

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Ukusanyaji wa Data kwa Kutumia API za Simu za Mkononi×Utafiti wa Simu×
NyanjaMetodolojia ya DodosoMetodolojia ya Dodoso
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili2007–2010 (mainstream smartphone era)Late 2000s–2010s (accelerated with smartphone adoption, ~2007–2015)
MwanzilishiEmerged from mobile computing and REST/web API proliferation (Fielding, 2000; widespread adoption ~2007–2010 with smartphone ecosystem)Emerged from web survey methodology researchers (Couper, Buskirk, Toepoel, and others)
AinaDigital data collection techniqueQuantitative / mixed data collection technique
Chanzo asiliaLuce, M. F., Kahn, B. E., & Malhotra, N. K. (2016). Capturing consumer experiences with mobile research methods. Journal of Consumer Research, 42(6), 949–965. link ↗Toepoel, V., & Lugtig, P. (2014). What happens if you offer a mobile option to your web panel? Evidence from a probability-based panel of internet users. Social Science Computer Review, 32(4), 544–560. DOI ↗
Majina mbadalamobile API data collection, smartphone API data harvesting, mobile app API research data collection, API-driven mobile data collectionsmartphone survey, mobile web survey, mobile questionnaire, m-survey
Zinazohusiana66
MuhtasariMobile API-based data collection uses mobile devices (smartphones, tablets) to query application programming interfaces — structured web endpoints that return machine-readable data — enabling researchers to gather behavioral, contextual, sensor-enriched, or platform-generated data in real time from participants in their natural environments. It combines the ubiquity of mobile hardware with the scalability and standardization of RESTful or GraphQL APIs.A mobile survey is a self-report questionnaire designed and administered through smartphones or tablets, either via a mobile-optimized web browser or a dedicated app. As mobile devices became the dominant mode of internet access globally, surveys must be built for small screens, touch interaction, and variable connectivity. Mobile surveys are used across social science, public health, market research, and organizational studies when reaching respondents in their natural, everyday context is a priority.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Mobile API-based Data Collection · Mobile Survey. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare