Data Analysis: Qualitative Data
Qualitative data can be analyzed in various ways as this data can be highly subjective. Generally, most researchers adopt an approach from five basic analyses possibilities [21, 22].
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Content Analysis
This method analyzes the text to identify specific features or patterns. In this approach, the data is first coded by assigning labels or categories then, patterns and trends are noted. The research data can be textual, visual, or auditory, allowing interviews, written articles, social media posts, and more to be examined.
How do you pick the correct analysis for your data? You can pick the correct data analysis by considering these factors [21, 22]:​​​​
The research question.
The type of data collected (interview, transcript, voice recordings, etc.).
The research context.
The researcher’s expertise (the training required and tools needed to conduct the analysis).
And the goals of the research and resources available.
​What are the challenges of qualitative data analysis [21, 22]?​​
1.
Qualitative data has a large volume of data that can be difficult to organize, manage, and analyze effectively (without bias).
2.
There are fewer standardized measures which can affect the reliability and validity of the analysis.
3.
Lastly, it is very time-intensive as the analysis can be time-consuming due to the iterative process of coding, categorizing, and synthesizing the data.
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