Health questionnaire evaluation

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Evaluation –

Sample:

Unfortunately in my questionnaire, I only used a sample of 10 people. Although this is a cheap and easy way of gathering information, it is near impossible to accurately draw conclusions from national data, as the sample at that size cannot be representative. If I had a used a postal questionnaire or a faster means of delivering the questionnaires, I could have a much larger sample size to analyze. While this would not prove cost or time effective, I would however have a better chance at requiring a sample that was representative of the national population. For example I’m more likely to come across the different religions, social classes and experiences in a large sample than I am 10 people.

Reliability:

The nature of a questionnaire means that they are generally reliable, as the quantitative data is replicated easily at any time. I used however a number of qualitative open questions, which are a lot harder to operationalise. This means if I were to replicate the questionnaire to other individuals, when I came to compare the results on the open items, it would be a lot harder to do this as open questions provide a lot of rich individual data rather than set statements or numbers. But for ad hoc (one time) purposes like mine, the open questions worked well as I only had to operationalise a small number of responses.

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Validity:

Unfortunately I chose two different methods of collecting the data. One way was from a structured interview, and the other was by handing out the questionnaire. This poses many problems in the validity of my results. The people who were given the opportunity to take the questionnaire away and think about the items, are going to give very different answers compared to those who had to answer almost immediately.  This is due to the power of the subconscious in decision-making. It is a misconception that a person should go on their ‘gut feeling’ when making a decision, however research ...

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