To solve problems, whether in humanities, data analytics, cybersecurity, IT, adm

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To solve problems, whether in humanities, data analytics, cybersecurity, IT, administrative management or any other field, you must perform research in some capacity. Then you must appropriately communicate that research to your audience. Most audiences will want to know whether your sources are primary or secondary, so that they can judge their credibility. They will also want to know how much of the research is derived from quantitative (using concrete numbers) data vs qualitative (interpretation of numbers to communicate the relevance of your work) data.
For this assignment, you will reflect and submit answers to the following two topic areas:
Primary vs. Secondary Sources
Quantitative vs. Qualitative Data
Be sure to provide examples, reasoning and logic to receive full credit.
A formal APA-style paper is not required. However, your submission should be double spaced and should have clear headings and spacing, with a minimum of 10 point font. 12 point font is preferred.
1. Primary vs. Secondary Sources
In general, do you tend to use primary sources, secondary sources or a mix of both when you write your academic papers? Why?
Are primary or secondary sources more credible? Why?
Explain your answers using examples, the text reading and the information provided in the module regarding rhetorical appeals. You might even consider using examples from your previous writing.
Understanding Primary & Secondary Sources
(Links to an external site.)
2. Quantitative vs. Qualitative Data
Explain the difference(s) between quantitative and qualitative research. Provide one example of each type in your explanation. One of your examples should come from personal or professional experience. Be sure to provide examples, reasoning and logic to receive full credit.
Do you think that professionals who write about sustainability use quantitative or qualitative skills more frequently? Why?

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