Posted by
Garry Gelade on
URL: http://spssx-discussion.165.s1.nabble.com/do-repeat-tp5719707p5719791.html
Mike,
The only thing I can think of is to run the survey on a subset of
individuals (preferably a stratified random sample) using both forms of the
scale. Then regress one score on the other. You can then apply the
regression results to rescore your previous survey into the alternative
scale form.
Garry Gelade
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of MR
Sent: 28 April 2013 01:23
To:
[hidden email]
Subject: Normalizing scores
Team,
I have one problem on my hand and am running out of options on which
statistics to use in SPSS. First, I know that the what I want to do is not
advisable but trust me, I have fought my battle on this. This is what I want
to achieve:
Issue: We did wave 1 survey using 5-point satisfaction scale. The second
wave was conducted using 5-point agreement scale. Expectedly, top-box scores
from agreement scale when compared to top-box score of satisfaction scale
was low by 10% points. For e.g., agreement scale top box in wave 2 came out
as 50% while wave 1 it was 60%.
Goal: I have compared the historical data and conclude that score difference
is purely due to scale change. However, i want to normalize the wave 2 score
so that I can compare with wave 1. I know this is not advisable but I have
to do this. I googled but could not find any statistics that helps to
normalize the scores - indeed I don't know where to begin. I need a
scientific method to normalize the scores so that they are comparable. I
don't want to conclude that performance dropped by 10% just because scale
changed.
Your wisdom and help is very much required.
Thanks,
Mike
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