Question.4058 - Variable Definition and Measurement There are two familiar sayings in the research community. First, we live in a multivariate world, so we need to conduct multivariate research. Second, garbage in, garbage out. The first statement is a reflection of the normal state of the human condition in which multiple factors usually influence a given phenomenon. Stated in research terms, at least several variables are related to the primary variable of interest. How, then, do you know which variables to study? For example, when conducting depression research study with the elderly, some of the highly related variables that also should be included in a primary depression study might include physical health status, socialization, stress, coping, and access to resources. No one variable on its own can explain depression in this population. The second statement, “garbage in, garbage out,” is common in the quantitative statistical community and is self-explanatory. If the quality of the measures and collected data are poor, every action and result that follows will also be poor, thus affecting reliability, validity, and credibility in a negative way. Optimally designed and executed survey studies prioritize measurement. They are reliable, meaning measurement is consistently applied. They are also valid, meaning truth and meaning in the measurement is applied. Finally, they are credible, meaning the results are subjectively, as well as objectively, believable. Refer back to the example in the Introduction for this week. Using a depression scale that consistently measures the specific construct of depression similarly with multiple measurement points and samples strengthens reliability. Using an instrument that measures the construct of depression and not a similar construct such as grief, stress, or anxiety strengthens validity. Ensuring that your results relate to similar findings supported in the literature as well as within the community that works with depression in older adults also strengthens credibility. For this Discussion, use your topic from Week 3, and consider three key variables in the research study you proposed for that topic. Think about how you would operationally define and measure each, using theory as the basis of your decisions. In addition, reflect on how you would justify your choice of measurement including specific scales or measures you would use, an explanation of the level of measurement for each variable, and the scores that will be generated by the scale or measure for each variable. Finally, consider how a multivariate approach to variable selection and measurement would optimally assess your research problem. Resources Be sure to review the Learning Resources before completing this activity. Click the weekly resources link to access the resources. WEEKLY RESOURCES With these thoughts in mind: By Day 3 Post a description of three key variables in your Research Proposal. Then explain how you would operationally define and measure each. Explain and justify your choice of measurement including specific scales or measures you might use, the level of measurement for each variable, and the potential scores generated by the scale or measurement for each variable. Finally, explain how you might use a multivariate approach to variable selection and measurement to optimally assess your research problem. Be sure to support your postings and responses with specific references to the Learning Resources. Read a selection of your colleagues' postings. By Day 5 Peer responses should be posted by Day 5. Please respond in the following ways: Ask a probing question. Share an insight from having read your colleagues' postings. Offer and support an opinion. Validate an idea with your own experience. Make a suggestion. Expand on your colleagues' postings. Return to this Discussion in a few days to read the responses to your initial posting. Note what you learned and/or any insights you gained as a result of your colleagues' comments.
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