Ive seen cases where the otal number of responses for a question is larger than the total number of completed questionnaires received. Why is this?
This can happen when you apply large weights to the data. If, for example, we have a very large practice where half of the patients are young men and half are young women but only 5% of the young men return a questionnaire, we would have to apply a very large weight to the responses from each young man to make the profile of patients who completed a questionnaire match the profile of the practice. In such cases, the responses we have received are ‘up-weighted’ to such an extent that the ‘weighted’ number of responses exceeds the ‘actual’ number of responses. I’ve seen cases where, when adding up the number of people who have selected each different response for a question, the total does not match the figure in the ‘total number of responses’ column. Why is this? This can happen when weighted data is rounded to a whole number. When weights are applied, decimals are added to the number of responses in each category and the total number of responses. This means that, occasionally there c
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