Construct · 1 fields · 1 citations

potential outcomes framework: a standalone construct

One name. One construct. A landmark on the map.

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Statistics

defining a causal effect as the difference between the outcomes a unit would have under treatment and under control, applied to experiments and observational data.

In statistics, potential outcomes framework refers to defining a causal effect as the difference between the outcomes a unit would have under treatment and under control, applied to experiments and observational data. This meaning comes from Rubin (1974) in Journal of Educational Psychology.[1]

Unit
Recovery means
Measured by

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Nearby constructs

causation6 fields · 15 citationsjingle · one name, six constructs cause3 fields · 7 citationsjingle · one word, three constructs control4 fields · 5 citationsjingle · one word, four constructs

References

Rubin, D. B. (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology, 66(5), 688-701. https://doi.org/10.1037/h0037350

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