방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 웹 스크래핑× | 온라인 설문× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | Late 1990s–2000s | Mid-1990s (widespread scholarly adoption ~1995–2000) |
| 창시자≠ | Early internet practitioners; systematised in research contexts from the late 1990s onward | Mick P. Couper, Don A. Dillman (early systematic frameworks) |
| 유형≠ | Automated digital data collection technique | Quantitative / mixed-methods data collection technique |
| 원전≠ | 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 ↗ |
| 별칭 | web harvesting, screen scraping, web crawling, automated data extraction | web survey, internet survey, e-survey, computer-assisted web interviewing |
| 관련≠ | 5 | 6 |
| 요약≠ | 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. |
| ScholarGate데이터셋 ↗ |
|
|