Bandingkan kaedah

	Eksperimen Semula Jadi	Perbezaan-dalam-Perbezaan (Diff-in-Diff)	Eksperimen Lapangan	Ujian Terkawal Rawak (RCT)
Bidang	Reka Bentuk Eksperimen	Ekonometrik	Reka Bentuk Eksperimen	Reka Bentuk Eksperimen
Keluarga	Process / pipeline	Regression model	Process / pipeline	Hypothesis test
Tahun asal	1990s (formal methodological articulation); earlier in epidemiology (John Snow, 1854)	1994	1920s–1930s (agriculture); 1990s–2000s (social sciences)	1948
Pengasas	Varied; systematized in econometrics and political science (e.g., Meyer 1995; Angrist & Krueger 1991)	Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)	Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004)	James Lind (early precursor, 1747); modern formulation: Austin Bradford Hill & Medical Research Council (1948)
Jenis	Quasi-experimental research design	Causal inference / panel regression	Experimental design	Interventional comparative study
Sumber perintis	Meyer, B. D. (1995). Natural and quasi-experiments in economics. Journal of Business and Economic Statistics, 13(2), 151–161.	Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355	Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055.	Schulz, K.F., Altman, D.G., Moher, D., for the CONSORT Group (2010). CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomised Trials. BMJ, 340, c332.
Alias	natural quasi-experiment, naturally occurring experiment, exogenous shock design, as-if randomization	diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)	field trial, natural field experiment, randomized field experiment, field RCT	RCT, randomised controlled trial, clinical trial, Randomize Kontrollü Çalışma (RCT) Tasarımı
Berkaitan	3	5	5	7
Ringkasan	A natural experiment exploits a real-world event, policy, or circumstance that assigns individuals to treatment and control conditions in a way that is plausibly random — or at least exogenous to the outcome of interest. Because the researcher does not control assignment, it occupies a middle ground between a true randomized controlled trial and purely observational research, offering stronger causal leverage than conventional observational designs when the as-if randomization assumption holds.	Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.	A field experiment applies the logic of a randomized controlled trial in a naturally occurring, real-world environment rather than an artificial laboratory. Participants are randomly assigned to treatment and control conditions while going about everyday activities, allowing researchers to estimate causal effects with high internal validity while preserving a level of ecological realism that laboratory settings cannot offer. The design is especially prominent in economics, public health, political science, and development research.	A randomized controlled trial (RCT) is the gold standard experimental design in clinical and health research, in which participants are randomly allocated to a treatment group or a control group so that the effect of an intervention can be measured with the highest possible degree of internal validity. The modern parallel-group RCT was formalized by Austin Bradford Hill and the Medical Research Council in their landmark streptomycin trial of 1948, and its reporting is governed today by the CONSORT 2010 guidelines (Schulz et al., 2010).