The Difference Between Qualitative and Quantitative Data

Biostatistics
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Discuss the difference between Qualitative and Quantitative data.
Quantitative data can be counted, measured, or expressed using numbers. This type of data is objective, direct, and conclusive. In addition, quantitative data is structured, and this type of data has a format that allows it to be quickly organized and accessible. Since quantitative data can be objectively measured, this type of data is preferred in the natural sciences, emphasizing objectivity and accuracy.
Qualitative data are descriptive and conceptual, and this type of data can be categorized based on characteristics and traits. The data is subjective, interpretive, and exploratory. Qualitative data is not statistical, and is mostly unstructured or semi-structured, and is helpful to get more in-depth knowledge on a phenomenon or subject. This data is usually generated through qualitative research to make theorizations, interpretations, develop hypotheses, and initial understandings.
Describe three examples of qualitative data and three examples of quantitative data. Include potential response categories (e.g., “yes” versus “no,” likert scale of “very likely, likely, neither, unlikely, very unlikely”). (1 page)
Qualitative data represent a quality or attribute that can be classified into different categories. One example is whether respondents or study participants are smokers, then people would respond “yes” or “no.” This is different from using the frequency of smoking, which is quantitative and would include no smoking at all, and categorization of the frequency
Other qualitative data have more than two possible values, such as racial and ethnic classification. For instance, people are categorized into different races such as Asian, Black, White, Latino (Hispanic), Native American, and Pacific Islander. The Census Bureau identifies people based on the mentioned race categories. Another qualitative question is respondents answer the question, “ I believe 18 year olds are mature enough to own a gun.” “Strongly Disagree,” “Moderately Disagree,” “Slightly Disagree,” “Slightly Agree,” “Moderately Agree,” and “Strongly Agree.” Based on the responses, the survey would then determine whether people are open to the idea of any 18-year-old owning guns as they are mature enough.
A number expresses quantitative data, and arithmetic operations can be performed with them. It can be discrete or continuous. Examples of quantitative data include the average number of children in a family, the number of customers served in a store, and the average income in each city. In the three variables, data is recorded, and numerical data is measured. The objective data can also be compared across different periods and geographic areas to determine differences, trends, and patterns.
Describe a study that would use qualitative data. Then, describe a study that would use quantitative data. In each of these two studies, list ten possible variables that would be collected and types of response categories for each (e.g., gender would have two response categories for “male” and for “female”).
Qualitative data study
* What are the experiences of nurses who report fatigue and burnout in hospitals?
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