Standardized
Partial Slope Coefficients (beta weights)
Partial
slope coefficients are not directly comparable to one another. This is because each variable is often based on a
different metric. Beta weights (standardized
slope coefficients) are used to compare the relative importance of regression coefficients
in a model. They are not useful for comparisons among models from other samples.
Formula: _{} or partial slope * std dev. of Xi/std dev. of Y
Example:
Education
partial slope coefficient = 1878.2
Education
standard deviation = 2.88
Begin
salary standard deviation = 7870.64
_{} _{} _{} _{}
This is
interpreted as the average standard deviation change in Y (salary) associated with one
standard deviation change in X (education), when all other independent variables are held
constant. Or a one standard deviation change
in education results in an average change of .687 standard deviations in income.
