Please reply to the following two post 100 words with one reference each
Week 11: Dayana De Leon
The discussion in chapters 18 and 19 focused on the essential aspects of defining effective data management and quantitative analysis. According to Cleophas and Zwinderman (2016), the valid data management procedure is a cause of substantive and informative analysis. As such, the centrality of the two chapters informed on the importance of understanding the collected data, since this advices on the most appropriate analytical approach. Indeed, the integral concept explored in these chapters was the quantitative analysis techniques and process of data cleaning.
Based on the chapters’ readings, it is notable that data management constitutes the aspects defined in the interim transitional process of data collection and analysis. According to Bortolotti (2018), the steps involved in data management, such as cleaning, coding, and resolutions regarding the missing figures are informative on the underlying potential problems; thus, informing the proactive measures for rectification. Besides, the other valuable deduction was on the essence of conducting a preliminary analysis, which offers insights on the data quality, precision, validity, and reliability. In this regard, the readings advise that it is vital for a beginner to consult an expert or a statistician for precision purposes when constituting a database.
A review of the quantitative techniques of summarizing and visualizing data was another important attribute of this lecture. For instance, it was interesting to learn that ordinal and nominal data assumes different analytical approaches (Cleophas & Zwinderman, 2016). Understanding the difference between measures of dispersion and the measures of central tendency was outstanding as well. However, the chi-square and bivariate analysis techniques seemed more advanced; thus, requiring a thorough review. Overall, the two chapters have laid a significant background in my knowledge of quantitative analysis, as well as data management procedures.
Bortolotti, R. (2018). Data prep 2-1: Data cleaning and recoding. Handbook of statistical analysis and data mining applications. Cambridge, Massachusetts: Academic Press.
Cleophas, T. J., & Zwinderman, A. H. (2016). Quantitative data analysis. Understanding clinical data analysis. New York, NY: Springer.
Suggested Qualitative Method
It can be said that the best approach to dealing with this issue is using the qualitative research method of phenomenology. This qualitative method is good template that seeks to understand the lived experience of the returning veteran. It digs deep into the soul and seeks to establish a human connection and builds a relationship. This lived experience can be tied to transcendental phenomenology. It describes the essence and the experience being studied (Tappen, 2011)This allows for the researcher to fully grasp the reasoning for the actions of the veteran and seeking to find meaning for the opioid abuse.
Strengths and Weaknesses
One of the weaknesses that a researcher can have would be bracketing. Sometimes it is difficult for a researcher to set aside preconceived notions or biases that would otherwise interfere with the study. One of the strengths that can solidify the research is the recruitment of participants. This narrows the target group to only veterans who have returned from combat within one year. The interview process is both a strength and a weakness. A strength would be open communication of the participant going through the hardship. A weakness of an interview would be that the experience is subjective (Skea, Derek, BSc, MPhil, Pg, 2016).The greatest strengths would be the ability of the researcher to be able to probe and dig deep, thus exploring the why these things happen.
Mixed Research Method and Practice Issue
A practice issue that would benefit from utilizing mixed methods approach is the issue of opioid addiction. In this issue both quantitative and qualitative data can effectively collaborate in order to reach its objective. Which is to effectively eradicate and treat opioid addictions. Both would complement one another since quantitative methods use a measurable approach that is based on numbers, results and measurables. The qualitative method of phenomenology allows the researcher to investigate how the participant allowed themselves to get this far in the pathology, through a lived experience. A clear challenge that researcher may face is regarding the issue of reporting the data collected. The results may have to be reported separately. When narrowed down there is clear separation between subjective and objective results, this may affect the validity of the results discovered (Bishop, 2015).
Bishop, F. L. (2015). Using mixed methods research designs in health psychology: An illustrated discussion from a pragmatist perspective. British Journal of Health Psychology, 20(1), 5-20. doi:http://dx.doi.org/10.1111/bjhp.12122
Skea, Derek, BSc, MPhil,Pg Cert. (2016). Phenomenological enquiry and psychological research in caring and quality of life contexts: Acknowledging the invisible. International Journal of Caring Sciences, 9(3), 1134-1146. Retrieved from https://search.proquest.com/docview/1860631806?acc…
Tappen, R. M. (2011). Advanced nursing research: From theory to practice. Sudbury, MA: Jones & Bartlett Learning.