So sánh phương pháp

	Khảo sát Quan hệ dựa trên Bảng	Nghiên cứu bảng
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1940s onward (panel survey); relational survey as standard practice by mid-20th century	1970s-1980s (econometric formalization); earlier social survey use from 1940s
Người khởi xướng	Rooted in panel survey traditions systematized by Paul Lazarsfeld (1940s) and relational survey methodology codified by Kerlinger, Babbie, and de Leeuw	Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s
Loại	Quantitative observational longitudinal survey design	Quantitative longitudinal observational design
Công trình gốc	de Leeuw, E. D., Hox, J. J., & Dillman, D. A. (Eds.). (2008). International Handbook of Survey Methodology. Lawrence Erlbaum Associates / Taylor & Francis. ISBN: 978-0805857535	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717
Tên gọi khác	longitudinal relational survey, panel relational study, repeated-measures correlational survey, panel correlational design	panel study, panel survey, longitudinal panel, repeated-measures panel
Liên quan	4	3
Tóm tắt	A panel-based relational survey is a quantitative design that recruits the same group of respondents and surveys them at two or more time points to examine how variables relate to, predict, or co-vary with one another over time. By combining the relational goal of uncovering associations among variables with the panel structure of repeated measurement from a stable sample, the design enables researchers to track how relationships evolve, test directional hypotheses about predictors and outcomes, and distinguish within-person change from between-person differences.	Panel research is a quantitative longitudinal design in which the same individuals, organizations, or other units are measured repeatedly across two or more time points. Unlike cross-sectional surveys that capture a single snapshot, a panel tracks change within units, enabling researchers to separate genuine within-unit change from between-unit differences and to model causal dynamics over time.