Posted by
Ryan on
Apr 28, 2013; 1:14pm
URL: http://spssx-discussion.165.s1.nabble.com/do-repeat-tp5719707p5719793.html
Are you dealing with a study design which allowed for different questionnaires (agreement versus satisfaction) to be administered to different groups of people at different points in time with the purpose to compare the composite scores after data collection? If yes, why would you think the responses are comparable in any way, shape or form? Why would you want to compare them anyway? What's the point?
Further, you believe people in the first wave scored higher on one questionnaire than people in the second wave because of the framing of the item(s) and/or response options in terms of satisfaction as opposed to agreement?
Please answer my questions, providing as much clarification as possible. Lay out the study design. Also, please give examples of the items and response options from each questionnaire.
Ryan
On Apr 27, 2013, at 8:22 PM, MR <
[hidden email]> wrote:
> 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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