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Мобильная техника Дельфи×Мобильное анкетирование×
ОбластьМетодология опросовМетодология опросов
СемействоProcess / pipelineProcess / pipeline
Год появленияClassic Delphi: 1950s; mobile variant: 2000s–2010sLate 2000s–2010s (accelerated with smartphone adoption, ~2007–2015)
Автор методаOlaf Helmer, Norman Dalkey, Nicholas Rescher (RAND Corporation) — mobile adaptation emerged early 21st centuryEmerged from web survey methodology researchers (Couper, Buskirk, Toepoel, and others)
ТипIterative expert consensus techniqueQuantitative / mixed data collection technique
Основополагающий источникHasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008–1015. DOI ↗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 ↗
Другие названияmobile Delphi, smartphone Delphi, mDelphi, mobile consensus surveysmartphone survey, mobile web survey, mobile questionnaire, m-survey
Связанные66
СводкаThe Mobile Delphi Technique applies the structured, iterative Delphi consensus process through smartphone or tablet interfaces, enabling geographically dispersed expert panels to participate in multiple rounds of rating and feedback from any location. It preserves the anonymity and controlled feedback loop of the classic Delphi while reducing response latency through push notifications and mobile-optimised questionnaires.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.
ScholarGateНабор данных
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  2. 2 Источники
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ScholarGateСравнение методов: Mobile Delphi Technique · Mobile Survey. Получено 2026-06-18 из https://scholargate.app/ru/compare