Question: 2. Frequently, when doing research about changes among customers, we do not have a baseline, such as the pre-COVID sample from 2019. In such a

2. Frequently, when doing research about changes2. Frequently, when doing research about changes

2. Frequently, when doing research about changes among customers, we do not have a baseline, such as the pre-COVID sample from 2019. In such a case, we might ask questions such as, "in the last year, has your level of stress increased (a lot, a little bit, no change, decreased....)" or "Compared to before COVID, do you think that it will be harder or easier to find a job requiring a university degree?" What issues might you have with using data from such a survey, compared to comparing data from the same set of questions asked at the same time each year? There may be strengths and weaknesses with each approach. C. The number or records deleted is small. The impact on any analysis is likely small as well since we have so little information about this small set of records. We are looking at 13 questions. Suppose that we delete all rows for which we do not have answers to all 13 questions (that is, we delete all records for which TotalAns

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