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07_analysis.qmd

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@@ -165,7 +165,7 @@ A study testing a specific theory or framework.
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Explore a new topic, not yet well-established in the literature.
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Explore a new topic not yet well-established in the literature.
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How many interviews are enough? Determining how many qualitative interviews are sufficient is a complex question that often yields nuanced answers.
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Data saturation is frequently cited as a measure of quality in qualitative research and used to justify purposive small samples. It is primarily reliant on the point at which little new information is obtained, known as thematic saturation. In theory, thematic saturation occurs when interviews or observations start lacking variability to reveal only recurring themes, indicating that further data collection is unlikely to yield new insights. When researchers observe a plateau in these findings, it often signals that they may have reached an adequate sample size.
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Data saturation is frequently cited as a quality measure in qualitative research and used to justify purposive small samples. It primarily relies on the point at which little new information is obtained, known as thematic saturation. In theory, thematic saturation occurs when interviews or observations lack variability to reveal only recurring themes, indicating that further data collection is unlikely to yield new insights. When researchers observe a plateau in these findings, it often signals that they may have reached an adequate sample size.
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However, assessing saturation is not straightforward and is much left to interpretation, as it involves subjective judgments about rigor, precision, and confidence. Often, researchers may claim to have achieved saturation to meet certain criteria without adequately explaining what it entails in their specific context or how they reached that conclusion.
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This lack of justification can undermine the transparency and credibility of qualitative studies. Data saturation is often insufficiently examined and can be problematic and contradictory when applied broadly to qualitative research. It might be more appropriate to reserve the concept of data saturation for grounded theory, where there is a clear framework for its application.
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While there is no consensus on minimal sample sizes for qualitative research. There is a general recommendation of 6–30 interviews for most qualitative research projects.
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While there is no consensus on minimal sample sizes for qualitative research, there is a general recommendation of 6–30 interviews for most qualitative research projects.
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### Time to Practice! 💪🏼
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**Optional**
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Now that we've gained some knowledge about coding, let's explore how we can put these concepts into practice. In pairs, access the [worksheet](https://docs.google.com/document/d/1Kxjx_Wp0PQ29e3Xhs1GZXTW2K3Da4LxnVd8zq1N2afY/edit){target="_blank"} and follow the instructions.
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Now that we've gained some knowledge about coding let's explore how we can put these concepts into practice. In pairs, access the [worksheet](https://docs.google.com/document/d/1Kxjx_Wp0PQ29e3Xhs1GZXTW2K3Da4LxnVd8zq1N2afY/edit){target="_blank"} and follow the instructions.
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We will get more into this in later episodes, where we will have a chance to perform thematic coding assisted by a QDA open and free software.

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