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Data collection and analysis should occur simultaneously to refine and develop theory from "summary" of Discovery of Grounded Theory by Barney G Glaser,Anselm L Strauss
The process of developing theory involves continuous interaction between data collection and analysis. As researchers engage with the data, they are simultaneously refining and developing their theoretical understanding of the phenomenon under study. This iterative process allows for the emergence of new insights and ideas that can shape the direction of the research. By collecting and analyzing data concurrently, researchers are able to test and refine their theoretical concepts in real-time. As new data is collected, it can be compared and contrasted with existing data to identify patterns and relationships that may not have been apparent initially. This constant back-and-forth between data collection and analysis helps to ensure that the theory is grounded in the empirical evidence. Moreover, the iterative nature of data collection and analysis allows researchers to explore different perspectives and interpretations of the data. By considering multiple viewpoints and engaging in discussions with colleagues, researchers can refine their theoretical framework and develop a more comprehensive understanding of the phenomenon. This collaborative approach helps to ensure that the theory is robust and well-supported by the data. Additionally, the simultaneous nature of data collection and analysis helps to prevent biases and preconceptions from influencing the research process. By staying open to new ideas and revising their theoretical concepts in response to the data, researchers can ensure that their findings are objective and grounded in the empirical evidence. This commitment to remaining flexible and adaptable throughout the research process is essential for developing theory that accurately reflects the complexity of the phenomenon under study.- The concept of data collection and analysis occurring simultaneously to refine and develop theory underscores the dynamic and iterative nature of the research process. By engaging with the data in a systematic and rigorous manner, researchers can generate new insights, test theoretical concepts, and develop a more comprehensive understanding of the phenomenon. This approach ultimately leads to the creation of theory that is well-supported, insightful, and relevant to the research community.
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