Answer: It is important to use both QUALITATIVE and QUANTITATIVE data because the limitations of one type of data are counteracted by the advantages of the other.
Explanation:
QUALITATIVE data defined as type of data that centers on the measurement of the features of the subject under study. This is obtained through careful observations. It is a non numerical type of data. Some examples includes: sex(male or female), name, and colours. The limitations of using only qualitative data for a research includes:
--> it can not be statistically represented
--> the results can not be verified
--> it is time consuming and
--. It requires alot of labor.
QUANTITATIVE data is defined as the type of data that centers on the measurement of the amount and quantity of the subject under study. It can be used to conduct a large study than qualitative data. Examples include the heights and weights of students. The limitations of quantitative research includes:
--> poor representation of target population
--> inability to control the environment and
--> lack of resources for data collection.
Therefore, It is important to use both QUALITATIVE and QUANTITATIVE data analysis because the limitations of one type of data are counteracted by the advantages of the other. I hope this helps, thanks!
