categorical variable by establishing three ordinal classifications?

It is equally as important to determine which type of variable is most appropriate, a continuous versus a categorical. Earlier in the course, Dr. Bruce Barton discussed reasons why it is occasionally advantageous to treat a continuous variable as a categorical measure, although doing so changes the significance testing method. To prepare for this Discussion, read the Razmjou article, Cross-sectional Analysis of Baseline Differences of Candidates for Rotator Cuff Surgery from this weeks Learning Resources. By Day 4, post a comprehensive response to the following: Table 1 compares a number of demographic and baseline characteristics for males and females in the study sample. The variable, BMI (Body Mass Index) is a continuous measure; however, the authors chose to treat it as a categorical variable by establishing three ordinal classifications: normal, overweight, and obese. Why do you think this was done? What are the benefits to using categorial instead of numerical data? How does changing from a numerical to a categorical variable change the statistical tools used to analyze the data? Do you think this change was appropriate? Why or why not? Read a selection of your colleagues’ postings. By Day 6, respondto at least one of your colleagues’ postings in one or more of the following ways: Ask a probing question. Expand on the colleague’s posting with additional insight and resources. Offer polite disagreement or critique, supported with evidence. In addition, you may also respond as follows: Offer and support an opinion. Validate an idea with your own experience. Make a suggestion or comment that guides or facilitates the discussion. Retuarn to this Discussion in a few days to read the responses to your initial posting. Note what you have learned and/or any insights you have gained as a result of your colleagues’ comments. You are not required to post these final insights.

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