قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| تجربة طبيعية عاملية× | التجربة العاملية× | |
|---|---|---|
| المجال | التصميم التجريبي | التصميم التجريبي |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 1920s (factorial origins, Fisher); natural experiment formalization 1990s–2000s; factorial natural experiment usage widespread 2000s–present | 1926–1935 |
| صاحب الطريقة≠ | Extension of natural experiment tradition (Dunning, Angrist & Pischke) combined with factorial design logic (Fisher) | Ronald A. Fisher |
| النوع≠ | Quasi-experimental research design | Quantitative experimental design |
| المصدر التأسيسي≠ | Dunning, T. (2012). Natural Experiments in the Social Sciences: A Design-Based Approach. Cambridge University Press. ISBN: 978-1107698000 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| الأسماء البديلة≠ | factorial quasi-experiment, multi-factor natural experiment, factorial exogenous variation design | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| ذات صلة≠ | 4 | 6 |
| الملخص≠ | A factorial natural experiment exploits naturally occurring exogenous variation across two or more factors simultaneously, allowing researchers to estimate main effects and interactions without random assignment. Natural events, policy changes, or institutional rules create treatment conditions that approximate a factorial structure, enabling causal inference in observational settings where controlled experimentation is infeasible or unethical. | A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect. |
| ScholarGateمجموعة البيانات ↗ |
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