Overview Of Quality Data
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Overview Of Quality Data
Limitations of Primary Data
Primary research data describes when a business conducts its research and controls its data. This data is authentically gathered by the researcher (or the institution he works for). The organization invests in data collection. This is also referred to as raw or first-hand data. There are advantages and as well as disadvantages of this method of data collection (Bailey, 2017). The limitations are as follows; Primary data is quite expensive as a lot is required to be invested (which is costly) in the research and manpower. This alone is and labor-intensive. The organization will incur a great deal in sourcing raw (primary) data.
This is also a direct control and supervision of a supervisor who works round the clock. Primary research, apart from attracting high costs, may require outsourcing or short-term employment. This process is time-consuming because it involves direct contact through interviews, observation, and the distribution of questionnaires. The responses may also be inaccurate due to the biases of the respondents.
Limitations of Secondary Data
Secondary data has applicability; therefore, finding secondary sources suitable for a specific project is cumbersome. Additionally, the collection and use of secondary data require a lot of handwork and research. Secondary data also might have different variations, and measurements might be inaccurate, definitions and data classes might be outdated.
The researcher might have to work around these deficiencies to work out the problem at hand (Straton, 2019). Secondary data has doubtful accuracy as the available data is associated distantly with the research problem. Understanding the limitations of both primary and secondary data is helpful as associates are able to work around acknowledging the weaknesses of their data thus making the correct assumptions (Straton, 2019).
References
Bailey, R. (2017). Continuous Quality Improvement (CQI)—Advancing Understanding of Design, Application, Impact, and Evaluation of CQI Approaches. Frontiers In Public Health.
Straton, T. (2019). Legitimizing Continuous Quality Improvement (CQI): Navigating Rationality in Undergraduate Medical Education. Journal Of General Internal Medicine, (34), 758-761.
Question
Describe at least two limitations to both primary and secondary data and how understanding those limitations can improve your future CQI work.