Qualitative & Quantitative Research Design


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Qualitative & Quantitative Research Design

 Sample Assignment 



Qualitative & Quantitative Research Design

The research design selection varies depending on the nature of the study, the variables involved and the research questions to be answered. The quantitative research designs are appropriate when the researcher seeks to establish a correlational coefficient or an association between the variables of interest. Unlike the qualitative design which mainly provides a description of the variables without further analysis, the quantitative designs offers greater data on the variables that help the researcher understand them further. The qualitative research design provides a generalized data on the research question. The commonly used qualitative research methodologies include the phenomenological, the ethnographical studies and case studies.

Both the qualitative and quantitative research designs have advantages and disadvantages. For example, a study seeking to explore the burden of obesity can either employ one of the two methods. The quantitative method will provide an elaborate description on the factors contributing to the burden, the risk for developing the disease and correlation between the health issue and age. Gathering all the data may be time consuming. Besides, the researcher needs a lot of skills on data analysis to determine the relationship between the variables of interest. Applying a wrong statistical test in the data analysis could lead to misleading information about the phenomenon observed as far as obesity is concerned. Besides, there are instances where the models developed to explain the regression analysis may not be suitable due to the nature of the data used. The researcher has to analyze the data in terms of distribution to establish its suitability in answering the research question.

An example of the quantitative research design is the work by Battram et al. (2019), which explored the impact of the parental engagement in the prevention of teenage obesity. The study identified the research variables and their operationalization. However, there was no theoretical or conceptual framework in the research. The study involved a controlled randomized method with a total of 50 participants being recruited. While the study design was appropriate, the sample population was not sufficient to comprehensively answer the research question. The ANCOVA statistical test was performed to determine the correlation between the parental engagement and the burden of childhood obesity.

The qualitative study designs also provide reliable findings to the research question considering that the behaviours of the participants are not manipulated. The research method allow the researcher to obtain the true characteristics and behavioural patterns among the targeted populations. A good example is the study conducted by Cohen et al. (2019), which explored the infection prevention behaviours among the nurses in a healthcare unit. The study adopted the ethnographic method which was sufficient to provide reliable data to the research question. The sample population was adequate and the study setting was also relevant to the research.

Finally, both qualitative and quantitative research designs are reliable provided the right procedure is adopted in sample recruitment and data collection. The quality of the study findings and conclusion is highly dependent on the data collected. However, the quantitative methods tend to be superior as they offer a deeper analysis of the research question and the problems. The researcher must always analyze the nature of the study, the research question and the data needed before they settle on either the qualitative or quantitative research design. The cases explored in this study indicates where each method is appropriate.



Battram, D., Burke, S., Morrow, D., Pearson, E. S., Tucker, P., Mantler, T., Cramp, A., Petrella, R., & Irwin, J. D. (2019). Coaching and/or education intervention for parents with overweight/obesity and their children: Study protocol of a single-center randomized controlled trial. BMC Public Health19(1). https://doi.org/10.1186/s12889-019-6640-5

Cohen, R., Gesser-Edelsburg, A., Singhal, A., Benenson, S., & Moses, A. E. (2019). Deconstruction of central line insertion guidelines based on the positive deviance approach—Reducing gaps between guidelines and implementation: A qualitative ethnographic research. PLOS ONE14(9), e0222608. https://doi.org/10.1371/journal.pone.0222608


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