Solved: Levels of Measurement

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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 study’s 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 your research problem statement from Week 2 to develop your research question.

Review the Learning Resources 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.

Post 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 level of measurement. Be sure to include any advantages or 

challenges that you might encounter in your statistical analysis of each

 variable and explain why.

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