According to her, the first step is to define your research question which considers what you most want to know, what led you to this question, why it is important and how this question will make a contribution to the field of health.

David Many have argued that qualitative data is so voluminous to deal with while carrying out research. This is undoubtedly true; however, many approaches can make dealing with qualitative data a bit easier to utilize and analyze in conducting research. Understanding how qualitative data differs from quantitative approach is key to effective utilization and handling of qualitative data. According to Brent Wolff et.al (2018), qualitative data have certain characteristics, first, it allows open-ended inquiry which is very helpful in exploring opinions and provides rich sources of insight. they are however bulky and time consuming. They are designed to favor small, purposively selected samples where in-depth analysis is needed. Although qualitative data allow broad ideas and opinions, they seek answers to specific questions. Having a clear organization system for qualitative data is important. Using the strategy of condensing the data which implies simplifying and abstracting the data before analysis helps reduce the bulkiness. Finding a way of displaying the data also proven effective in quantitative data handling. This might range from full verbatim transcripts of interviews to bulleted summaries, overview charts. Qualitative researchers also adopt a process known as coding in handling qualitative data more effectively. Coding is a technique used during qualitative data analysis for labelling sections of texts for selective retrieval in later stages of the research work. Sarah Ivan (2021) offers six tips on handling qualitative data. According to her, the first step is to define your research question which considers what you most want to know, what led you to this question, why it is important and how this question will make a contribution to the field of health. secondly, determination of the best method for data collection based on the research question. understanding the best data collection method reduces the bulkiness of the qualitative data.

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