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Elements of Quantitative Research: Design and Sampling

The object of the analysis is the research study article by Ansari, Hosseinzadeh, and Zwar (2016) “A quantitative research on self-management of type 2 diabetes in a middle-aged population of rural area of Pakistan”. The authors use a quantitative method to study the connection between illness and social and environmental factors. The relevance of such a design is explained by the scholars as to the way of a comprehensive approach to the study of the topic.

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The quantitative design is non-experimental because no indicators are changed in the process of the research, only data analysis and the results based on them are presented in the article. The authors introduce the research objective, correlate the obtained characteristics, and do not put new information instead of the desired indicators as an experiment. All the results of calculations are given in the form of formulas and tables with finished data.

From the conformity of the purpose stated by the authors, the volume of the information presented is sufficient. The research group (R) is chosen by the topic, and the objectives of the article, the intervention (X) is shown in detail, the order of data collection and processing (O) is described with the decoding of all the data. In this case, R is a relatively large number, which proves the great work done by the researchers, and O has the form of formulae where each number is explained. The type of sampling used in the research study article in probability because the authors involve the random selection of patients from a medical center and do not resort to the choice of particular people for the research.

The advantage of the sampling type used is that the results of the study are not affected by any extraneous and personal factors. The entire experimental group of people in the number of 200 suffers from the same disease, and it is easier to identify patterns and draw the necessary conclusions if all these people have nothing in common except what is the purpose of the study. Perhaps, the main disadvantage of this type of sampling is that the people selected for the analysis may have similar characteristics of their disease, and in the case of a big number of coincidences regarding characteristics, the data obtained may not be entirely reliable. The more features the researchers identify, the more concrete and detailed the result will be.

Random assignment to the research study group allowed the authors not to take into account the exceptional characteristics of each of those who participated in the group. It helped to analyze the data and to draw a general conclusion according to it. The outcome does not depend on each member of the study separately, and the obtained learning is performed in the form of a general result in the article. The final figures became the basis for the conclusion and the source for reasoning.

Thus, a quantitative method used in this research study article became the basis for identifying all the necessary information and allowed considering the topic explored as relevant and important. The use of such a type of sampling as a probability is explained by the specific nature of the research being conducted. The random assignment became the central principle of selection of an experimental group and allowed conducting an independent and reliable study.

Reference

Ansari, N. M., Hosseinzadeh, H., & Zwar, N. A. (2016). A quantitative research on self-management of type 2 diabetes in middle-aged population of rural area of Pakistan. International Education and Research Journal, 2(8), 62-65. Web.

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StudyCorgi. (2022, January 22). Elements of Quantitative Research: Design and Sampling. Retrieved from https://studycorgi.com/elements-of-quantitative-research-design-and-sampling/

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StudyCorgi. (2022, January 22). Elements of Quantitative Research: Design and Sampling. https://studycorgi.com/elements-of-quantitative-research-design-and-sampling/

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StudyCorgi. (2022) 'Elements of Quantitative Research: Design and Sampling'. 22 January.

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