เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การสำรวจความสัมพันธ์ตามช่วงเวลา× | การสำรวจเชิงสัมพันธ์× | |
|---|---|---|
| สาขาวิชา | การออกแบบการวิจัย | การออกแบบการวิจัย |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1960s–1980s (formalized in panel and longitudinal survey literature) | Mid-20th century onward (systematised ~1960s–1990s) |
| ผู้ริเริ่ม≠ | Classical survey methodology (Campbell & Stanley, 1963; Kessler & Greenberg, 1981) | Established in educational and social science research methodology; systematised by Fraenkel & Wallen and others |
| ประเภท≠ | Non-experimental quantitative design | Quantitative non-experimental survey design |
| แหล่งต้นตำรับ≠ | Singer, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press. ISBN: 978-0195152968 | 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 |
| ชื่อเรียกอื่น | longitudinal correlational survey, prospective relational survey, repeated-measures relational survey, panel relational survey | correlational survey, associational survey, relationship survey design, relational descriptive survey |
| ที่เกี่ยวข้อง≠ | 3 | 4 |
| สรุป≠ | A longitudinal relational survey follows the same sample at two or more time points, collecting structured questionnaire data each wave and examining how the relationships among variables change, strengthen, weaken, or emerge across time. Unlike a cross-sectional relational survey that offers a single snapshot, this design captures temporal dynamics and allows researchers to test whether earlier measurements predict later outcomes, making it valuable for studying development, attitude change, and causal ordering. | 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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