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| Nghiên cứu so sánh nhân quả có hỗ trợ mô phỏng× | Nghiên cứu nhân quả-so sánh× | |
|---|---|---|
| Lĩnh vực | Thiết kế nghiên cứu | Thiết kế nghiên cứu |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | Late 20th–early 21st century (hybrid approach formalized ~1990s–2000s) | 1964 |
| Người khởi xướng≠ | Synthesized from causal-comparative tradition (Donald T. Campbell; Julian Stanley) and simulation methodology | Fred N. Kerlinger |
| Loại≠ | Hybrid observational-simulation design | Non-experimental quantitative research design |
| Công trình gốc≠ | Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to Design and Evaluate Research in Education (10th ed.). McGraw-Hill. ISBN: 978-1260087352 | Kerlinger, F. N. (1964). Foundations of Behavioral Research. Holt, Rinehart and Winston. link ↗ |
| Tên gọi khác | simulation-augmented causal-comparative design, ex post facto simulation design, SA-CCR, causal-comparative with simulation validation | ex post facto research, causal-comparative design, retrospective causal study, CCR |
| Liên quan≠ | 4 | 3 |
| Tóm tắt≠ | Simulation-assisted causal-comparative research is a hybrid observational design that combines the ex post facto logic of causal-comparative studies — comparing groups that differ on a naturally occurring variable — with computational simulation to strengthen causal inference, test counterfactuals, and assess the robustness of observed group differences. By augmenting real-world comparisons with simulated scenarios, researchers can explore causal mechanisms that cannot be manipulated experimentally. | Causal-comparative research is a non-experimental quantitative design in which the researcher compares two or more groups that already differ on an independent variable — one that was not manipulated — to investigate possible causes or consequences of that difference. Because group membership is pre-existing rather than randomly assigned, the design can suggest causal relationships but cannot establish them with the certainty of a true experiment. It is widely used in education, psychology, and social sciences when experimental manipulation is impractical or unethical. |
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