Stimulus-response model

Stimulus-response model

The stimulus-response model describes a statistical unit as making a quantitative response to a quantitative stimulus administered by the researcher. The object of this kind of research is to establish a mathematical function that describes the relation "f" between the stimulus "x" and the expected value (or other measure of location) of the response "Y":

: E(Y) = f(x)

The most common form assumed for such functions is linear, thus we expect to see a relationship like

: E(Y) = alpha + eta x.

Statistical theory for linear models has been well developed for more than fifty years, and a standard form of analysis called linear regression has been developed.


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