The Interpretation of Abstract Data

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Qualitative research is a beneficial approach to examining issues of philosophical nature. It is widely used by scholars who intend to observe social phenomena since quantitative methods do not provide sufficient information in this respect. Hence, qualitative studies are more beneficial when it is required to generate theories or discover meanings. The interpretation of such abstract data can also be combined with quantitative tools in some fields, such as healthcare, for exploring individual perceptions and suggest interventions. By adopting in-depth interviews alongside surveys and assessments, specialists manage to find adequate solutions to challenges.

The reliability of findings in these studies is conditional upon the correct selection of questions and sample size. They are performed with regard to the principle of saturation or, in other words, the sufficiency of data and participants. Careful preparation of these aspects also encourages people to actively engage in conversations with researchers. As a result, the levels of the performance vary depending on the human factor, allowing to consequently conclude on the presence of specific patterns. In addition, the clarity of statements in the surveys and interviews is the key to the precision of outcomes.

Another aspect of the matter is a further interpretation of the received information. It is addressed by decoding the data by themes while maintaining their structure while focusing on individual and group feedback. In this situation, the analysis is one of the essential stages, which helps specify the meaning of the studies and propose the subsequent implementation of the findings or additional research. Also, the overview of the projects becomes more manageable when the responses are strictly organized. Nevertheless, flexibility is also necessary for establishing the correspondence of initiatives to hypotheses and readjusting efforts in the case when unexpected circumstances emerge.

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