Hi Kelly
Hi,
I was hoping to pick the brains of anyone familiar in analysing questionnaire data. Basically I have created a questionnaire to determine attitudes towards packaging and have been rifling through various textbooks but cannot seem to get a straight answer! Responses are all on a bipolar 5-point scale with a midpoint (similar to a likert scale) thereby qualifying as interval data, with the exception that for some questions, each number has an assigned category, rather than being purely numerical, e.g.
1) I always purchase non-packaged items
2) I mostly purchase non-packaged items
3) I purchase both non-packaged and pre-packaged items equally
4) I mostly purchase pre-packaged items
5) I always purchase pre-packaged items
Does anyone know whether items using this format should this by analysed via parametric or non-parametric (i.e spearman’s rank) tests as I have had mixed responses?!
Additionally, further questions are scaled using the terms ‘always, sometimes, frequently, rarely, never’- again these data fall between ordinal and interval as the distance between items is somewhat meaningful, should these be analysed using the same tests as the question above?
I am looking for a) the relationship between questionnaire items and b) the relationship between self-reported attitudes/behaviour and implicitly measured data ,
Hope that makes some sense!?
Thanks in advance
Kelly