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Reflecting on reflexive thematic analysis
Qualitative Research in Sport, Exercise and Health, 2019Since initially writing on thematic analysis in 2006, the popularity of the method we outlined has exploded, the variety of TA approaches have expanded, and, not least, our thinking has developed and shifted. In this reflexive commentary, we look back at
Virginia Braun, Victoria Clarke
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A THEMATIC ANALYSIS OF THE AIDS LITERATURE [PDF]
Faced with the need for human comprehension of any large collection of objects, a time honored approach has been to cluster the objects into groups of closely related objects. Individual groups are then summarized in some convenient manner to provide a more manageable view of the data.
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Abstract This chapter presents the theory and practice of thematic analysis as an accessible and flexible method for analyzing qualitative data in emerging adulthood research. As a family of approaches ranging on a continuum from systematically scientific to creatively artful, thematic analysis’ defining feature is a focus on the ...
Mauricio Toval-Gajardo +1 more
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Mauricio Toval-Gajardo +1 more
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2023
Thematic theory, comprised of the concepts of theme, rheme, and thematic progression, concerns itself with the interplay between word order, information status, propositional content and discourse function. In contemporary research on thematic theory, researchers have begun to leverage computational means for text analysis with respect to thematic ...
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Thematic theory, comprised of the concepts of theme, rheme, and thematic progression, concerns itself with the interplay between word order, information status, propositional content and discourse function. In contemporary research on thematic theory, researchers have begun to leverage computational means for text analysis with respect to thematic ...
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, 2019
The concept of data saturation, defined as ‘information redundancy’ or the point at which no new themes or codes ‘emerge’ from data, is widely referenced in thematic analysis (TA) research in sport and exercise, and beyond.
Virginia Braun, Victoria Clarke
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The concept of data saturation, defined as ‘information redundancy’ or the point at which no new themes or codes ‘emerge’ from data, is widely referenced in thematic analysis (TA) research in sport and exercise, and beyond.
Virginia Braun, Victoria Clarke
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Health Psychology Review, 2023
Despite the persistent dominance of a ‘scientific psychology’ paradigm in health psychology, the use of qualitative research continues to grow. Qualitative approaches are often based on fundamentally different values from (post)positivistempiricism ...
Virginia Braun, Victoria Clarke
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Despite the persistent dominance of a ‘scientific psychology’ paradigm in health psychology, the use of qualitative research continues to grow. Qualitative approaches are often based on fundamentally different values from (post)positivistempiricism ...
Virginia Braun, Victoria Clarke
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LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
Conference on Empirical Methods in Natural Language Processing, 2023Thematic analysis (TA) has been widely used for analyzing qualitative data in many disciplines and fields. To ensure reliable analysis, the same piece of data is typically assigned to at least two human coders.
Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku
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BMC Medical Informatics and Decision Making
As part of qualitative research, the thematic analysis is time-consuming and technical. The rise of generative artificial intelligence (A.I.), especially large language models, has brought hope in enhancing and partly automating thematic analysis.
Issam Bennis, Safwane Mouwafaq
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As part of qualitative research, the thematic analysis is time-consuming and technical. The rise of generative artificial intelligence (A.I.), especially large language models, has brought hope in enhancing and partly automating thematic analysis.
Issam Bennis, Safwane Mouwafaq
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Thematic-LM: A LLM-based Multi-agent System for Large-scale Thematic Analysis
The Web ConferenceThematic analysis (TA) is a widely used qualitative method for identifying underlying meanings within unstructured text. However, TA requires manual processes, which become increasingly labour-intensive and time-consuming as datasets grow.
Tingrui Qiao +3 more
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Comput. Methods Programs Biomed.
BACKGROUND Large language models (LLMs) are generative artificial intelligence that have ignited much interest and discussion about their utility in clinical and research settings.
W. S. Mathis +4 more
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BACKGROUND Large language models (LLMs) are generative artificial intelligence that have ignited much interest and discussion about their utility in clinical and research settings.
W. S. Mathis +4 more
semanticscholar +1 more source

