So sánh phương pháp

	Nghiên cứu nhóm đoàn hệ dựa trên bảng điều tra	Nghiên cứu Khảo sát
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	Mid-20th century (formalized ~1950s–1970s)	Late 19th century; methodologically systematised 1940s–1960s
Người khởi xướng	Developed through convergence of epidemiological cohort methodology and social science panel survey traditions	Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s
Loại	Quantitative longitudinal observational design	Quantitative (and mixed) non-experimental design
Công trình gốc	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. ISBN: 978-1107038691	Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000
Tên gọi khác	panel cohort study, longitudinal panel cohort, cohort panel design, panel longitudinal study	survey methodology, questionnaire research, survey design, survey study
Liên quan	3	4
Tóm tắt	Panel-based cohort research is a longitudinal observational design that follows a defined group of individuals — the cohort — across multiple repeated measurement waves, collecting structured quantitative data at each wave. It merges the epidemiological strength of cohort tracking (a group sharing a common characteristic or entry point) with the panel study convention of standardized, repeated-contact data collection. The design enables analysis of change over time within individuals while supporting causal inference about exposure-outcome relationships.	Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences.