Hi there,
I was wondering if anyone had some thoughts on how I could (if I could
or should) resolve this 'little' problem.
I have got questionaires from ~250 children regarding their knowledge of
food and nutrition. Part of this survey asks questions like 'what is
fibre' and then the child ticks which foods on a list contain fibre;
'what is protein' and again the child ticks food on a list etc.
What I had envisaged is reporting x% of children knew what fibre was and
these are the foods (in % response) that the children think contain fibre.
So far, so good. However while typing in the data it seems to me that
the pattern of results from some children, could be explained by them
recognising that fibre is 'good' for you, fat 'bad', protein 'good'
etc. and recognising that some foods are good for you e.g. chicken,
yoghurt etc and attributing to them 'good' food componants (e.g. so
yoghurt - which is 'good' for you, must 'of course' be high in protein
and fibre, but low in sugars and fats .... )
So I think that there are two ways the questionaires are being answered.
Clearly the 'patterned' responses are going to obscure the type of
response I was hoping to obtain. Is there any rational basis (methods)
for separating the two types of responses out.
My own feeling is that I probably don't have any basis for this
separation; however I would be grateful for the opinions of wiser/more
experienced folks.
Many thanks
Graham Clarke
--
Dr G.S.Clarke
Lecturer in Physiology & Biometery
Faculty of Health Studies
University of Wales, Bangor
Fron Heulog
Ffriddoedd Road
Bangor
Gwynedd LL57 2EF
Tel: 01248 383157
e-mail: [log in to unmask]
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