विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| सिमुलेशन-सहायता प्राप्त कारण-तुलनात्मक अनुसंधान× | कारण-तुलनात्मक अनुसंधान× | |
|---|---|---|
| क्षेत्र | अनुसंधान अभिकल्प | अनुसंधान अभिकल्प |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | Late 20th–early 21st century (hybrid approach formalized ~1990s–2000s) | 1964 |
| प्रवर्तक≠ | Synthesized from causal-comparative tradition (Donald T. Campbell; Julian Stanley) and simulation methodology | Fred N. Kerlinger |
| प्रकार≠ | Hybrid observational-simulation design | Non-experimental quantitative research design |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम | 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 |
| संबंधित≠ | 4 | 3 |
| सारांश≠ | 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. |
| ScholarGateडेटासेट ↗ |
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