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Type of Data
The research will demand the gathering of both primary and secondary data for the thorough investigation of the research questions. Primary information will be represented by the online interviews held on Zoom. Based on this procedure, it is expected to obtain the necessary indicators, including race, gender, nationality, and others (Taherdoost, 2020). Later, this data will be processed and used in the identification of specific patterns. Secondary data will also be incorporated: peer-reviewed articles and other credible academic sources could provide solid theoretical underpinnings.
Data Collection Process
Necessary data will be gathered in the form of an online interview via Zoom. The participants are expected to answer a series of research-related questions. In my project, I will gather, analyze, and interpret data. In addition, the project participants are 10 nurse practitioners (NP) and 10 primary care providers (PCP). These people will be responsible for responding to posed questions. Finally, the project sponsors will oversee the entire process of investigation.
Data Collection Issues
There is a possibility of encountering systematic errors which arise as a result of an imperfect concept or logic of research. They also occur due to incorrect interpretation of answers as well as mistakes made at the stage of processing, data analysis, and presentation of information (Brown et al., 2018). The results will be double-checked to avoid further inconsistencies. The error of not receiving data is the second type of non-observation fault that can be present in this investigation. It occurs if researchers are unable to collect data from the elements that make up the sample. This happens for two reasons: absence and refusal of an interview. Even though Zoom interviews are easy to conduct, some respondents may feel reluctant to answer some questions. In this case, the interview will be prepared in accordance with the ethical standards. Additionally, all respondents will be informed on the necessity of responding to every question.
References
Brown, A. W., Kaiser, K. A., & Allison, D. B. (2018). Issues with data and analyses: Errors, underlying themes, and potential solutions. Proceedings of the National Academy of Sciences of the United States of America, 115(11), 2563-2570.
Taherdoost, H. (2020). Different types of data analysis; Data analysis methods and techniques in research projects. International Journal of Academic Research in Management (IJARM), Helvetic Editions, 9 (1), 1-9. Web.
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