Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Веб-скрейпинг× | Онлайн-опрос× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Late 1990s–2000s | Mid-1990s (widespread scholarly adoption ~1995–2000) |
| Автор метода≠ | Early internet practitioners; systematised in research contexts from the late 1990s onward | Mick P. Couper, Don A. Dillman (early systematic frameworks) |
| Тип≠ | Automated digital data collection technique | Quantitative / mixed-methods data collection technique |
| Основополагающий источник≠ | Mitchell, R. (2018). Web Scraping with Python: Collecting More Data from the Modern Web (2nd ed.). O'Reilly Media. ISBN: 978-1491985571 | Couper, M. P. (2000). Web surveys: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494. DOI ↗ |
| Другие названия | web harvesting, screen scraping, web crawling, automated data extraction | web survey, internet survey, e-survey, computer-assisted web interviewing |
| Связанные≠ | 5 | 6 |
| Сводка≠ | Web scraping is a computational data collection technique in which software automatically retrieves and extracts structured or semi-structured content from websites. Widely used in social science, computational linguistics, economics, and information science, it enables researchers to assemble large datasets from publicly accessible web sources — such as news archives, social media platforms, government portals, and online marketplaces — that would be impractical to collect manually. | 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. |
| ScholarGateНабор данных ↗ |
|
|