Hello.
I want to analyze data. There is a question in which you have to put five choices in your personal order. If I want to interpret this question, LimeSurvey gives me five different statistics. So which statistic should I use? There is a screen in which you can see what I mean. Before I want to see the statistic I can select the question. But in fact, there are five questions to analyze. Which should I select, to get an result for the hole question?
Pleas, can you help me? I would to appreciate any help.

Thank you!

Kind regards from Dresden, Germany,

Fred

A question like this is pretty difficult to analyze anyway, because there will be man different solutions.

However, I assume that each of these 5 boxes stands for one position in the ranking (1-5) and it will show how often each of the items mas ranked in the specific position. So I assume you will have to mark the all. However, I personally wouldn't "analyze" stuff like this in the back end of a survey tool. Seriously.

The survey tool is to collect information and give you a quick idea of the results. Analysis should be done with the proper software.

holch wrote: Absolutely correct. There will be one entry for each ranking option at such question.

Yes, it seems logical. Each box/entry stands for one position.
For my Analyses I will separate each question in his own parts. My aim is to discover in which part of the whole test the users were breaking of.

Thank you for your help.

Greetings from Germany, Dresden
Fred

quoapcto wrote: That is a very interesting topic. Maybe you can explain more about your approach. Do you simple count answers for all questions to see where users drop off?

Yes, this would be a nice to have feature for the future.

This feature helps to identify problems in the questionnaires and to estimate for future projects where people tent to drop out. In my past experience it is usually the first 2-3 questions where most people drop out, no matter what kind of question it is.

Once past these initial questions it is usually matrix questions with many items and open ended questions that trigger most drop-outs.

Yes of course, it will be very interesting to see in which part of the test the user drop out. And if lime survey gives us a helpful tool to handle this, lime survey will be more powerful. But in this case I will export the hole date to excel. There I can operate with different tools/codes, to watch out, in which lines the users didn't fill anything.

Best Greeting from Germany,

Fred