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| s is, therefore, the residual standard deviation which, for example, corresponds to the square root of the mean square error term in an analysis of variance. | s is, therefore, the residual standard deviation which, for example, corresponds to the square root of the mean square error term in an analysis of variance. __Note__: The use of Mean Square Error is equivalent to the 'Deviance' Scale Parameter Method using the default linear model (for a continuous response) under the 'Estimation' tab in the Generalized Linear Model (under 'analyze' in SPSS). |
What does 's' denote in describing a General Linear Model (GLM)?
The GLM terminlogy is described [http://www.fil.ion.ucl.ac.uk/~mgray/ here] in relation to using SPM.
Examples of GLMs include linear regressions and analysis of variance and are of form.
Y = XB + error or, in words, Response = Prediction + residual
s is, therefore, the residual standard deviation which, for example, corresponds to the square root of the mean square error term in an analysis of variance. Note: The use of Mean Square Error is equivalent to the 'Deviance' Scale Parameter Method using the default linear model (for a continuous response) under the 'Estimation' tab in the Generalized Linear Model (under 'analyze' in SPSS).