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| Онлайн анкета× | Проучване× | |
|---|---|---|
| Област | Методология на проучванията | Методология на проучванията |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | Mid-1990s (widespread scholarly adoption ~1995–2000) | Late 19th century; systematic social-science use from 1940s |
| Създател≠ | Mick P. Couper, Don A. Dillman (early systematic frameworks) | Francis Galton, Charles Booth, and early social statisticians; formalised by Paul Lazarsfeld in the 1940s |
| Тип≠ | Quantitative / mixed-methods data collection technique | Quantitative (primarily) or mixed-methods data-collection instrument |
| Основополагащ източник≠ | Couper, M. P. (2000). Web surveys: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494. DOI ↗ | 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 |
| Други названия | web survey, internet survey, e-survey, computer-assisted web interviewing | questionnaire survey, survey research, self-report survey, questionnaire study |
| Свързани | 6 | 6 |
| Резюме≠ | An online survey is a structured data collection instrument hosted on a web platform and completed by respondents via internet-connected devices. It enables large-scale, geographically dispersed data gathering at low cost and with rapid turnaround. Respondents self-administer the questionnaire at their convenience, which reduces interviewer bias and permits automatic data capture. Online surveys are the dominant mode of survey research in social, behavioural, health, and market research today. | 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. |
| ScholarGateНабор от данни ↗ |
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