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Everything about Randomized experiment
Experiment using randomness in some aspect, usually to aid in removal of bias
In science, randomized experiments are the experiments that allow the greatest reliability and validity of statistical estimates of treatment effects. Randomization-based inference is especially important in experimental design and in survey sampling. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Randomized experimentA 5-minute orientation
- Skim a recent paper: Criminalizing Poverty: The Consequences of Court Fees in a Randomized ExperimentInfluential work since 2022
- Pick up a classic book: Orthogonal fractional factorial designsThe most-reprinted book on the subject
- Read the landmark paper: Neighborhoods, Obesity, and Diabetes — A Randomized Social ExperimentCited 811 times
- Go sideways: ConfoundingA closely related topic
- Go sideways: Causal inferenceA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Neighborhoods, Obesity, and Diabetes — A Randomized Social Experiment
Social Influence Bias: A Randomized Experiment
Teachers, Race, and Student Achievement in a Randomized Experiment
Exporting and Firm Performance: Evidence from a Randomized Experiment*
Observational Learning: Evidence from a Randomized Natural Field Experiment
Does Politics Influence Hiring? Evidence from a Randomized Experiment
You’ve Got Mail: A Randomized Field Experiment on Tax Evasion
Population Survey Features and Response Rates: A Randomized Experiment
🆕 Influential since 2022
Criminalizing Poverty: The Consequences of Court Fees in a Randomized Experiment
Daily automated feedback enhances self-regulated learning: a longitudinal randomized field experiment
Digital Strategies for Screen Time Reduction: A Randomized Field Experiment
Five Facts about MPCs: Evidence from a Randomized Experiment
Fun Shopping: A Randomized Field Experiment on Gamification
📚 Books worth reading
Orthogonal fractional factorial designsAloke Dey · 1985
Design And Analysis of Field ExperimentsN. Sundararaj, S. Nagaraju · 1972
Improving Experimental Design and Statistical AnalysisJulian C. Stanley · 1967
The Design and Analysis of Experiments and SurveysDieter Rasch, L. Rob Verdooren · 2007
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Confounding In causal inference, confounding is a form of systematic error (or bias) that can distort estimates of causal effects in observational studies. A confounder…
- Causal inference Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main…
- Quasi-experiment A quasi-experiment is a research design used to estimate the causal impact of an intervention. This research design is aimed at assessing the difference…
- A/B testing A/B testing (also known as bucket testing, split-run testing or split testing) is a user-experience research method. A/B tests consist of a randomized…
- Causal analysis Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. Typically it involves establishing four…
- Observational study An observational study is a type of research design in which outcomes are measured to identify patterns or associations without attempts by the investigator…
- Scientific control A scientific control is an element of an experiment or observation designed to minimize the influence of variables other than the independent variable…
- Field experiment Field experiments are experiments carried out outside of laboratory settings. They are different from others in that they are conducted in real-world settings…