qualitative or quantitative

qualitative or quantitative

Initial Post Instructions

1. Present two different types of data, or variables, used in the health field. Examples could be blood pressure, temperature, pH, pain rating scales, pulse oximetry, % hematocrit, minute respiration, gender, age, ethnicity, etc.
2. Classify each of your variables as qualitative or quantitative and explain why they fall into the category that you chose.
3. Also, classify each of the variables as to their level of measurement–nominal, ordinal, interval or ratio–and justify your classifications.
4. Which type of sampling could you use to gather your data? (stratified, cluster, systematic, and convenience sampling)

Follow-Up Post Instructions

Respond to at least two peers or one peer and the instructor. Further the dialogue by providing more information and clarification.

Your responses to other students can explain additional analyses that could be done with the variables they selected. Consider confounding variables, discrete or continuous data, the effects of outliers, etc.

Writing Requirements

• Minimum of 3 posts (1 initial & 2 follow-up)
• APA format for in-text citations and list of references

Solution Preview

Quantitative and Qualitative Data

The data used in any research study falls in the category of being either qualitative or quantitative and depends on the subject of interest in the research (Kumar, 2019). Age is one of the variables used in research, and often helps categorize the respondents into different clusters for effective analysis of another variable. In most cases, age is often an independent variable, and influences the prevalence of other conditions, acting as a predisposing factor to the condition under research.

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