That concern has nothing to do with centering variables before including them
in a model.
Your multiple significance testing strategy is not based on statistical
principles and will distort all inferences you obtain from the "final"
model.
Frank
stamkiral wrote:
>
> variables were centered (exce
variables were centered (except DV), because in social sciences zero is
rarely a meaningful point on a scale (Cohen, Cohen, West, Aiken, 2006). for
example in percieved social support questionnaire there is no value as zero.
It is a Likert Type questionnaire and on questionnaire 1= strongly
yes
How does it help to center the variables? What statistical principles are
you using to fit your model and how are you ensuring statistical validity of
inferential estimates? Why do it in multiple steps? Why use a mixture of
software tools? What is the utility of standardized regression
coeffici
hi,
ım studying moderated effects of percieved social support and justice world
belief on relationship between stress coping strategies and depression
level. ı haver never run this analysis before soi ı want to check my steps
whether correct or not.
first ı run regression
in step 1
centered in
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