Data selection refers to the process of choosing specific data points or sets from a larger dataset for analysis or interpretation. This process is crucial in ensuring that the analysis focuses on relevant and meaningful information, which can enhance the validity and reliability of research findings. By carefully selecting data, researchers can better align their analyses with research objectives and theoretical frameworks, making it a foundational step in both content analysis and grounded theory methodologies.
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