Compara mètodes

	Recollida de dades mitjançant enquesta mòbil	Enquesta
Camp	Metodologia d'enquestes	Metodologia d'enquestes
Família	Process / pipeline	Process / pipeline
Any d'origen	Late 2000s–2010s (accelerated with smartphone adoption, ~2007–2015)	Late 19th century; systematic social-science use from 1940s
Autor original	Emerged from web survey methodology researchers (Couper, Buskirk, Toepoel, and others)	Francis Galton, Charles Booth, and early social statisticians; formalised by Paul Lazarsfeld in the 1940s
Tipus	Quantitative / mixed data collection technique	Quantitative (primarily) or mixed-methods data-collection instrument
Font seminal	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.	Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method (4th ed.). Wiley. ISBN: 978-1118456149
Àlies	smartphone survey, mobile web survey, mobile questionnaire, m-survey	questionnaire survey, survey research, self-report survey, questionnaire study
Relacionats	6	6
Resum	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.	A survey is a systematic data-collection method in which a standardised set of questions is posed to a sample of respondents to measure attitudes, behaviours, demographics, or other constructs. Surveys can be administered via paper, telephone, online platforms, or face-to-face. They are among the most widely used instruments in social, behavioural, health, and educational research because they can reach large, geographically dispersed samples at relatively low cost.