Quantitative versus Qualitative Research
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Write a 2- to 3-page narrative essay in which you address the following items:
•discuss what constitutes a research problem
•compare and contrast the strengths and weaknesses of quantitative research and qualitative research
Also, I have attached a matrix. 1. Please ensure I filled it out with the correct info. And please advise me if I need to change something.
2. Please provide me with examples of research problems according to the matrix.
Here is my case assignment to explain it a little better:
FIRST, fill-in the matrix with information pertaining to the following items:
•identify the type of research represented by each methodology listed in the matrix (I.e., quantitative? qualitative? or mixed methods?)
•describe the purpose of each research methodology listed in the matrix
•provide an example of a research problem for each methodology listed in the matrix
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Solution Summary
This answer discusses the differences between quantitative and qualitative research methodologies.
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OK. This is kind of a big thing, so I am going to break it down into sections.
First, to answer question #1 (what is a research problem), you have to have a question. It can be about anything you may want to know. Since this assignment addresses both quant and qual research, a problem can be how temperature impact plant growth does or how do teachers feel about teaching the common core, or any combination of the two. In order to have a research problem, it is very important that the statement be testable (the difference between science and non-science). If what you want to know can be tested, then it constitutes a research problem.
This leads me to the differences between qual and quant research. Quant research is easy. It deals with facts and hard numbers. There needs to be data to back it up. For example, what is the correlation between test scores and number of hours students study every night? The dependent variable would be the test scores and the independent variable is the number of study hours. These data are not up for interpretation. They tell what they tell and ...
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