The questionnaire designed to
collect the data of the study is the instrument that should be calibrated and
its validity and reliability should be examined before it is to be used. This
implies rigorous methodology to study the existing literature and review the available
measures and exert a great attention to the development and the assessment of
the questionnaire.
That is why GOOD QUESTIONNAIRE IS
DIFFICULT TO CONSTRUCT.
The data generated based on
ill-developed questionnaire will have low quality and may not be useful to the phenomenon under investigation. In addition, the conclusions drawn based
on that will be poor and lack the reliability and validity.
That is why BAD QUESTIONNAIRES ARE
DIFFICULT TO ANALYZE.
Thanks Dr Abdullah,
ReplyDeleteAfter the pilot test has been performed and reviewed has been done what else test or final steps require to ensure the questionnaires are good and accepted in line the theses objective.
Appreciate your advice.
Thanks
Dear Mazlan, I will answer that question in details
ReplyDeleteDear Prof and friends,
ReplyDeleteIn relation to your comments on questionnaires, I have the following question:
In situation where a DV has multiple +ve and -ve regressions, how can we phrase the instrument items denoting DV to ensure convergent validity and avoid low factor loading given that the sample response will most likely negate one another e.g. two items denoting the same latent variable but with expected conflicting responses. One item expecting good responses and the other negative responses?