Posted by
Faiz Rasool on
Feb 22, 2018; 4:49pm
URL: http://spssx-discussion.165.s1.nabble.com/testing-for-homoscedasticity-in-SPSS-tp5735562.html
Hi,
I have a dataset of around 1200 participants. The data is of research
on attitude towards, and awareness of environmental issues, and
environmentally friendly behavior.
I’d like to perform multiple regressionon the data. The textbook I’m
following is Andy field’s discovering statistics using SPSS. I have
checked for assumptions of multiple regression, but there is one
assumption I’m having a difficulty checking. This assumption is the
assumption of homoscedasticity. The book suggests using the residuals
plot to evaluate whether there is homoscedasticity. I’m blind, and I
cannot see the plot to decide how it looks. I have checked that there
is no standardized residual value above + or – 3.0. I was wondering
that is there any test available in SPSs like the cooks distance test
that can give me a value that I can use to learn about the scatter
of the data.
Of course, I can show the data to someone who can see it for me, but
this is only possible in the next week, and I am hoping that if I can
check for myself, then, why wait. I’m also a bit confused about how
robust is the assumption of homoscedasticity. incase the data do not
meats this assumption, will I have to use some other method instead of
multiple regression.
Regards,
Faiz.
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