Stimulus–response model: Difference between revisions

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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.

Response = function(Stimulus)

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

Response = alpha + beta * Stimulus

[[[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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-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.
+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.
 *<font size=+1 color=red>Response = function(Stimulus)</font>
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 *<font size=+1 color=red>Response = alpha + beta * Stimulus</font>
-[[[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.
+[[[Statistical theory]] for [[linear model]]s has been well developed for more than fifty years and a standard form of analysis called [[linear regression]] has been developed.