Statistics in Research: Qualitative Studies Essay

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First of all, it should be noted that statistical data and their analysis are a vital part of many studies. Realizing this, I do not skip this part of the work, and include it myself when making a research. This is explained by the fact that statistics allow evaluating several important criteria, such as the scope of the study, the effectiveness of the proposed solutions, the characteristics of different groups or drugs. In addition, thanks to the analysis of statistical data, it is possible to draw the most objective conclusions about the type of research conducted, their reliability, and understand the principles that guide specialists. For example, in order to most fully characterize the sample and the participants in the experiment or the object of study, professionals use the method of descriptive statistics. It includes details about the gender, age, race, and number of people who participated in the analysis of a particular topic. In other words, such criteria are used to identify cause-and-effect relationships, and, consequently, to increase the objectivity of all work.

At the same time, there is the main difference between the static analysis of a particular work and the general base of the Cochrane library. In each individual study, a specialist must independently compile and collect statistics, analyzing and compiling the results. In the case of using the Cochrane database, the individual takes the initially identified information and only processes it (Harvey & Land, 2021). Thus, statistical data and their interpretation do not depend on the researcher in this case, which is not typical for analysis in scientific work. Qualitative studies are distinguished by the absence of numerical data, statistical information is not used in them. This type of work is based on first-hand information, such as interviews or observations (Harvey & Land, 2021). Statistics, on the other hand, implies the remote processing of a large amount of data obtained as a result of the analysis of scientific data.

Reference

Harvey, M. & Land, L. (2021). Research methods for nurses and midwives. Theory and practice. SAGE Publications.

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