I need to run heteroscedasticity test for my linear regression models. I
have searched the archives and I could not find a way to test heteroscedasticity of the model. Only information ı could find was using plots but I need some numerical way to test it. Could you please help me on this? I need to test heteroscedasticity of my linear regression models by applying extra tests available in SPSS (I currently use SPSS 15). Since ı am not an expert on coding nd macros I need to use menus and parameter screens. Thanks* * |
David,
since you are looking for an easy procedure: a very simple test concerning heteroscedasticity would be the Levene test. The procedure is described via video at http://www.stat.tamu.edu/spss.php [Regression Analysis -> Levene Test] HTH Cheers Matthias On 4/5/07, David Clemson <[hidden email]> wrote: > > I need to run heteroscedasticity test for my linear regression models. I > have searched the archives and I could not find a way to test > heteroscedasticity > of the model. Only information ı could find was using plots but I need > some > numerical way to test it. Could you please help me on this? I need to > test heteroscedasticity > of my linear regression models by applying extra tests available in SPSS > (I > currently use SPSS 15). Since ı am not an expert on coding nd macros I > need > to use menus and parameter screens. > > Thanks* > * > |
See also Raynald's SPSS site where details may be found for White's test for heteroscedasticity and details of how to apply it
at: http://www.spsstools.net/spss.htm#Heteroscedasticity Muir Houston Research Fellow CRLL Institute of Education University of Stirling FK9 4LA 01786-46-7615 ________________________________ From: SPSSX(r) Discussion on behalf of Matthias Spörrle Sent: Fri 06/04/2007 10:44 To: [hidden email] Subject: Re: Heteroscedasticity Test David, since you are looking for an easy procedure: a very simple test concerning heteroscedasticity would be the Levene test. The procedure is described via video at http://www.stat.tamu.edu/spss.php [Regression Analysis -> Levene Test] HTH Cheers Matthias On 4/5/07, David Clemson <[hidden email]> wrote: > > I need to run heteroscedasticity test for my linear regression models. I > have searched the archives and I could not find a way to test > heteroscedasticity > of the model. Only information i could find was using plots but I need > some > numerical way to test it. Could you please help me on this? I need to > test heteroscedasticity > of my linear regression models by applying extra tests available in SPSS > (I > currently use SPSS 15). Since i am not an expert on coding nd macros I > need > to use menus and parameter screens. > > Thanks* > * > -- The University of Stirling is a university established in Scotland by charter at Stirling, FK9 4LA. Privileged/Confidential Information may be contained in this message. If you are not the addressee indicated in this message (or responsible for delivery of the message to such person), you may not disclose, copy or deliver this message to anyone and any action taken or omitted to be taken in reliance on it, is prohibited and may be unlawful. In such case, you should destroy this message and kindly notify the sender by reply email. Please advise immediately if you or your employer do not consent to Internet email for messages of this kind. |
I would like to point out that in SPSS 15, the GENLIN procedure, which is part of the Advanced Models option and can be found in the menus under Analyze/Generalized Linear Models, provides the White HCCM estimator that is referred to in the cited paper. See the "Estimation" tab of the dialog and select "Robust Estimator" radio button in the Covariance Matrix group.
c) Whites Standard Errors White (op cit) developed an algorithm for correcting the standard errors in OLS when heteroscedasticity is present. The correction procedure does not assume any particular form of heteroscedasticity and so in some ways White has “solved” the heteroscedasticity problem. For comparison, here are the parameter estimation tables from GENLIN for a regression equation on the employee data.sav file. using, first, the model based estimator and then the robust estimator. The dependent variable is salary, and the predictors are salbegin, educ, and gender and jobcat dummy variables. I have extracted just the coefficients and their standard errors in order to make the plain text email readable. As you can see, the parameter estimates are identical, but in this case, the standard errors are substantially different. One might well expect heteroscedasticity in an equation like this. Parameter B Std. Error (Intercept) 13795.745 3247.0083 [gender=f] -1757.046 797.0853 [gender=m] 0 . [jobcat=1] -12236.096 1430.1509 [jobcat=2] -9217.461 2137.2856 [jobcat=3] 0 . salbegin 1.217 .0748 educ 786.599 163.2750 (Scale) 51566354.525 3349594.6723 Parameter B Std. Error (Intercept) 13795.745 3769.5888 [gender=f] -1757.046 709.1054 [gender=m] 0 . [jobcat=1] -12236.096 2054.5460 [jobcat=2] -9217.461 2246.6021 [jobcat=3] 0 . salbegin 1.217 .1176 educ 786.599 141.9034 (Scale) 51566354.525 3349594.6723 GENLIN has lots of other capabilities, too. HTH, Jon Peck SPSS -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Muir Houston Sent: Friday, April 06, 2007 5:29 AM To: [hidden email] Subject: Re: [SPSSX-L] Heteroscedasticity Test See also Raynald's SPSS site where details may be found for White's test for heteroscedasticity and details of how to apply it at: http://www.spsstools.net/spss.htm#Heteroscedasticity Muir Houston Research Fellow CRLL Institute of Education University of Stirling FK9 4LA 01786-46-7615 ________________________________ From: SPSSX(r) Discussion on behalf of Matthias Spörrle Sent: Fri 06/04/2007 10:44 To: [hidden email] Subject: Re: Heteroscedasticity Test David, since you are looking for an easy procedure: a very simple test concerning heteroscedasticity would be the Levene test. The procedure is described via video at http://www.stat.tamu.edu/spss.php [Regression Analysis -> Levene Test] HTH Cheers Matthias On 4/5/07, David Clemson <[hidden email]> wrote: > > I need to run heteroscedasticity test for my linear regression models. I > have searched the archives and I could not find a way to test > heteroscedasticity > of the model. Only information i could find was using plots but I need > some > numerical way to test it. Could you please help me on this? I need to > test heteroscedasticity > of my linear regression models by applying extra tests available in SPSS > (I > currently use SPSS 15). Since i am not an expert on coding nd macros I > need > to use menus and parameter screens. > > Thanks* > * > -- The University of Stirling is a university established in Scotland by charter at Stirling, FK9 4LA. Privileged/Confidential Information may be contained in this message. If you are not the addressee indicated in this message (or responsible for delivery of the message to such person), you may not disclose, copy or deliver this message to anyone and any action taken or omitted to be taken in reliance on it, is prohibited and may be unlawful. In such case, you should destroy this message and kindly notify the sender by reply email. Please advise immediately if you or your employer do not consent to Internet email for messages of this kind. |
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