Levels of Measurement (Chap 21, 22 & 26 Burns) What is the incidence of blood clots from COVID-19 in females over the age of 35? The above question is an example of a research question. A research question consists of three parts and guides the methods and approaches in which you will study the question to find answers. The research question includes: the question, the topic, and the population or variables. In the example provided above, the question is examining the prevalence of blood clots from severe COVID-19 in a selected population. From this question, the variables can be assessed, considerations can be analyzed, and populations can be sampled in order to guide the research. During Week 2, you developed a research problem statement based on a topic of interest to you or your specific area of practice. Using this research problem statement, you will develop a research question. A research question is a concise, interrogative statement that is worded in the present tense and includes one or more of a studys principal concepts or variables (Gray & Grove, 2020). These questions typically point to the type of study that will be conducted and serves as a guide for the research. For this Discussion, reflect on your research problem statement. Consider the independent and dependent variables of your research problem through the construction of a research question. Reflect on the potential levels of measurement for your variables and the rationale for the labels, as well as consider the advantages and challenges that you might experience in the statistical analysis of your proposed variables. . To Prepare: Review the research problem statement from Week 2 to develop your research question. (Does an opioid pain policy decrease the rates of opioid dependency among adult patients with acute injuries compared to current prescribing practices, when compared over a three-month timespan?). Though if you have a better formulated research question you prefer, you can use that instead. Review the Resources attached on how to describe variables. Consider the levels of measurement for your variables: nominal, ordinal, interval, or ratio. After reviewing your research question and considering the levels of measurement, analyze your classification for each variable. What was behind your reasoning for labeling the variables? How might the data be analyzed based on these labels? Consider advantages and challenges that you might encounter in the statistical analysis of your proposed variables. Write your research question and describe the independent and dependent variables. Then, identify the level of measurement of both your independent and dependent variables. Provide a brief rationale for your classification of each variable. Be specific. Explain considerations of analyzing data related to each variable based on its leve
