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1.
What is you reason for using a 10-point scale? This is
often done to try and get some additional variance out of a measure with
traditionally low variability. I did some work on this with a job
performance measure a few years ago and found only very slight increases in
variance when going from a 5-point to a 10-point scale. If I recall,
there are a few published studies that concur with my experience. On the
downside, you can get odd response patterns with larger scales such as
respondents only using 1, 5, and 10 or only using the top or bottom of the
scale. I’d say stick with a 5 or 7-point scale unless you
absolutely must squeeze out every last drop of variance you can get. 2.
For most purposes total score and mean score are going to give
you the same information. I’d be careful about using a total score across
all your constructs unless they are quite strongly related empirically and
theoretically. Do you plan on running a CFA with consumer perception as a
higher order factor of your 6 constructs? 3.
Your global internal consistency is going to be affected by how
highly correlated your constructs are. Did you or will you be running an
EFA to help you select items for your scales? If you use an orthogonal rotation
your global internal consistency may be a little disappointing. If you
have a good theoretical reason for your constructs to be correlated you’ll
probably want to use an oblique rotation. Dan Dan Riner Statistician Office of Institutional Research US Naval Academy FOR OFFICIAL USE ONLY - PRIVACY SENSITIVE Any misuse of unauthorized disclosure can result in both civil
and criminal penalties. From: SPSSX(r) Discussion
[mailto:[hidden email]] On Behalf Of Eins Bernardo
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