So sánh phương pháp

	Khảo sát qua điện thoại	Khảo sát
Lĩnh vực	Phương pháp luận khảo sát	Phương pháp luận khảo sát
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1970s (widespread from mid-1970s; Groves & Kahn 1979 seminal text)	Late 19th century; systematic social-science use from 1940s
Người khởi xướng	Groves & Kahn (foundational comparative study); CATI systems developed by Charles Cannell and colleagues at University of Michigan	Francis Galton, Charles Booth, and early social statisticians; formalised by Paul Lazarsfeld in the 1940s
Loại	Quantitative / mixed-mode data collection	Quantitative (primarily) or mixed-methods data-collection instrument
Công trình gốc	Groves, R. M., & Kahn, R. L. (1979). Surveys by telephone: A national comparison with personal interviews. Academic Press.	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
Tên gọi khác	CATI survey, computer-assisted telephone interview, telephone survey, phone survey	questionnaire survey, survey research, self-report survey, questionnaire study
Liên quan	5	6
Tóm tắt	A telephone-assisted survey is a structured data-collection method in which a trained interviewer administers a standardised questionnaire to respondents over the telephone, often supported by Computer-Assisted Telephone Interviewing (CATI) software. It combines the efficiency of remote administration with the response-quality advantages of live interviewer guidance, making it widely used in social, public-health, market-research, and political polling contexts.	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.