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. |
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*<font size=+1 color=red>Response = function(Stimulus)</font> |
*<font size=+1 color=red>Response = function(Stimulus)</font> |
Revision as of 12:02, 29 June 2001
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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