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)
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1. Two different types of data used in the health field are blood pressure and age.
2. Blood pressure is a quantitative variable because it can be measured and expressed in numerical values (e.g., 120/80 mmHg). Age, on the other hand, is also a quantitative variable as it represents the number of years elapsed since birth.
3. Blood pressure can be classified as interval level of measurement because it has equal intervals between measurements, and zero does not indicate the absence of the variable. Age can also be considered as interval level of measurement because it has equal intervals between values. However, it should be noted that age can also be classified as ratio level of measurement if the data includes a meaningful zero point (e.g., age in years since birth).
4. To gather data for blood pressure, any of the sampling methods could be used, depending on the specific research question and available resources. For example, stratified sampling could be used to ensure representation from different age groups or ethnicity. Convenience sampling may also be employed by selecting participants conveniently available (e.g., in a clinic waiting area). For age, systematic sampling could be used by selecting every nth participant from a population list (e.g., every 10th person in a patient database).
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