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| Nghiên cứu Dài hạn× | Nghiên cứu khảo sát tương quan× | |
|---|---|---|
| Lĩnh vực | Thiết kế nghiên cứu | Thiết kế nghiên cứu |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | Late 19th–early 20th century; methodologically codified through the 20th century | Mid-20th century onward (systematised ~1960s–1990s) |
| Người khởi xướng≠ | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett | Established in educational and social science research methodology; systematised by Fraenkel & Wallen and others |
| Loại≠ | Quantitative (or mixed) observational research design | Quantitative non-experimental survey design |
| Công trình gốc≠ | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841 | 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 study, longitudinal design, prospective longitudinal study, repeated-measures observational study | correlational survey, associational survey, relationship survey design, relational descriptive survey |
| Liên quan | 4 | 4 |
| Tóm tắt≠ | 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. | 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. |
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