পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| দীর্ঘস্থায়ী সম্পর্কগত সমীক্ষা× | Relational Survey× | |
|---|---|---|
| ক্ষেত্র | গবেষণা নকশা | গবেষণা নকশা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1960s–1980s (formalized in panel and longitudinal survey literature) | Mid-20th century onward (systematised ~1960s–1990s) |
| প্রবর্তক≠ | Classical survey methodology (Campbell & Stanley, 1963; Kessler & Greenberg, 1981) | Established in educational and social science research methodology; systematised by Fraenkel & Wallen and others |
| ধরন≠ | Non-experimental quantitative design | Quantitative non-experimental survey design |
| মৌলিক উৎস≠ | 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 |
| অপর নাম | longitudinal correlational survey, prospective relational survey, repeated-measures relational survey, panel relational survey | correlational survey, associational survey, relationship survey design, relational descriptive survey |
| সম্পর্কিত≠ | 3 | 4 |
| সারসংক্ষেপ≠ | 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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