Randomized experiment: Difference between revisions

Revision as of 13:15, 17 January 2016

Revision as of 13:16, 17 January 2016

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Outside of psychology and education, randomized experiments were popularized by [[R.A. Fisher]] in his book [[Statistical Methods for Research Workers]], which also introduced additional principles of experimental design.

==Statistical Interpretationinterpretation==

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The [[Rubin Causal Model]] provides a common way to describe a randomized experiment. While the Rubin Causal Model provides a framework for defining the causal parameters (i.e., the effects of a randomized treatment on an outcome), the analysis of experiments can take a number of forms. Most commonly, randomized experiments are analyzed using [[ANOVA]], [[Studentstudent's t-test]], [[Regressionregression analysis]], or a similar [[Statistical hypothesis testing|statistical test]].

==Empirical evidence that randomization makes a difference==