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.
Classify each of your variables as qualitative or quantitative and explain why they fall into the category that you chose.
Also, classify each of the variables as to their level of measurement--nominal, ordinal, interval or ratio--and justify your classifications.
Which type of sampling could you use to gather your data? (stratified, cluster, systematic, and convenience sampling)
Guide On Rating System
Vote
Two different types of data used in the health field are blood pressure and age.
- Blood pressure is a quantitative variable as it can be measured and expressed numerically. It falls under the interval level of measurement as it has equal intervals between measurements and a meaningful zero point (absence of blood pressure). The classifications of blood pressure include systolic and diastolic measurements.
- Age is a quantitative variable as it can also be measured and expressed numerically. It falls under the ratio level of measurement as it has equal intervals between measurements and a meaningful zero point (birth). Age can be classified as a continuous variable, but for analysis purposes, it is often grouped into categories (e.g., 0-10 years, 11-20 years, etc.).
The type of sampling that could be used to gather data for blood pressure and age depends on the specific research question and study design. However, some possibilities include:
- For blood pressure: Convenience sampling could be used if participants are easily accessible, for example, by sampling individuals visiting a healthcare clinic. Stratified sampling could also be used to ensure representation from different demographic groups based on factors such as age, gender, or medical condition.
- For age: Convenience sampling could be used by sampling individuals in a specific location or setting, such as a hospital or community center. Cluster sampling could be employed by randomly selecting specific clusters, such as neighborhoods or healthcare facilities, and sampling individuals within those clusters.
Got a question with my answer?
Cheapmath.com is completely free!
Asking question is free.
Getting answers is free.
+99