So sánh phương pháp

	Khảo sát Quan hệ dựa trên Bảng	Nghiên cứu Dài hạn
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	Late 19th–early 20th century; methodologically codified through the 20th century
Người khởi xướng	Rooted in panel survey traditions systematized by Paul Lazarsfeld (1940s) and relational survey methodology codified by Kerlinger, Babbie, and de Leeuw	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
Loại	Quantitative observational longitudinal survey design	Quantitative (or mixed) observational research 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	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841
Tên gọi khác	longitudinal relational survey, panel relational study, repeated-measures correlational survey, panel correlational design	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
Liên quan	4	4
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.	Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time.