The unstandardized parameters tell you the difference in Y per unit

change in X whereas the standardized tells you the difference in Y in

standard deviations per standard deviation difference in X. Many people

think the latter is better because you can directly compare the effcts

across other predictors but this is not good practice. In a perfect

world where all the predictors are measured with the same degree of

reliability and there are no outliers or overly influential data points,

this might be true but it rarely is the case. In addition, the

standardized estimates are more subject to sampling variablity. I would

stick to unstandardized coefficients, or if you must include the

standardized ones, make sure you include the unstandardized ones as

well.

Paul R. Swank, Ph.D. Professor

Director of Reseach

Children's Learning Institute

University of Texas Health Science Center-Houston

-----Original Message-----

From: SPSSX(r) Discussion [mailto:

[hidden email]] On Behalf Of

roxana dragan

Sent: Wednesday, July 18, 2007 12:00 PM

To:

[hidden email]
Subject: standardized vs. unstandardized coefficients

Hi,

Can anybody tell me what is the difference between standardized and

unstandardized coefficients in a linear regression? I am rusty on

regressions, did not use them for about 4 years.

Thanks,

roxana