|Date: ||Tue, 29 Apr 1997 02:41:50 +0300|
|Reply-To: ||Amir Hetsroni <amiron@MOFET.MACAM98.AC.IL>|
|Sender: ||"SPSSX(r) Discussion" <SPSSX-L@UGA.CC.UGA.EDU>|
|From: ||Amir Hetsroni <amiron@MOFET.MACAM98.AC.IL>|
|Subject: ||Re: how to make a scale more condensed but also more reliable?|
|Content-Type: ||text/plain; charset="us-ascii"|
In response with a couple of kind replies I've gotten (thank you Jim, Gregg
and others whose replies must be over the mail right now...), I refine my
question: Is there an algortithm that gives the most reliable X-Y items
scale out of an X items scale?
The common SPSS output gives the Alpha Cronbach for the deduction of any
one item but in social science relations between variables can be complex
while the abundance of combinatoric possibilites to compose an X-Y items
scale out of an X items scale when the original scale is long is too scary
to even begin to check each one seperately. Any idea?