So sánh phương pháp

	Khảo sát Quan hệ dựa trên Bảng	Nghiên cứu khảo sát tương quan
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	Mid-20th century onward (systematised ~1960s–1990s)
Người khởi xướng	Rooted in panel survey traditions systematized by Paul Lazarsfeld (1940s) and relational survey methodology codified by Kerlinger, Babbie, and de Leeuw	Established in educational and social science research methodology; systematised by Fraenkel & Wallen and others
Loại	Quantitative observational longitudinal survey design	Quantitative non-experimental survey 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	Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2009). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0073525748
Tên gọi khác	longitudinal relational survey, panel relational study, repeated-measures correlational survey, panel correlational design	correlational survey, associational survey, relationship survey design, relational descriptive survey
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.	Relational survey research is a quantitative, non-experimental design that gathers structured self-report data from a sample and examines the statistical associations among two or more variables. Unlike purely descriptive surveys, which only characterise distributions, relational surveys ask whether and how strongly variables co-vary — providing evidence of relationships without manipulating conditions or establishing causation.