Qualitative Data Analysis With Chatgpt And Qualcoder - Muhammad, Rafiq
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Reduce Qualitative Data Analysis Time by Over Half: A Practical Guide to ChatGPT and Qualcoder. Qualitative research often involves time-consuming tasks like coding, theme generation, and interpreting complex narratives. These tasks can feel overwhelming and labor-intensive. This book offers a practical solution by breaking down these challenges into manageable steps, guiding you in using ChatGPT and QualCoder (an open-source free software) together to streamline your analysis process. Focused on making AI accessible for qualitative research, this guide will show you how to:Set up and…mehr

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Produktbeschreibung
Reduce Qualitative Data Analysis Time by Over Half: A Practical Guide to ChatGPT and Qualcoder. Qualitative research often involves time-consuming tasks like coding, theme generation, and interpreting complex narratives. These tasks can feel overwhelming and labor-intensive. This book offers a practical solution by breaking down these challenges into manageable steps, guiding you in using ChatGPT and QualCoder (an open-source free software) together to streamline your analysis process. Focused on making AI accessible for qualitative research, this guide will show you how to:Set up and integrate ChatGPT with QualCoder Craft effective prompts for coding and thematic analysis Incorporate AI-generated insights Manage data from preparation to reporting-all while maintaining full control over your research process This book is ideal for researchers who:Are new to qualitative research and want to explore how AI and open-source tools like QualCoder can aid in coding and analysis. Have experience with qualitative methods and seek greater efficiency through ChatGPT and QualCoder. Are interested in using AI responsibly within qualitative research without compromising rigor. By the end of this book, you'll have the tools and knowledge to use ChatGPT and QualCoder effectively in qualitative research, enabling you to streamline coding, generate themes, and gain deeper insights from your data.
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Autorenporträt
Rafiq Muhammad has background in healthcare with MBA from SDA Bocconi School of Management, Italy, and holds a Ph.D. in Artificial Intelligence and Machine Learning from Karolinska Institute, Sweden. He has spent the past several years engaging deeply in data analytics and machine learning applications.Rafiq Muhammad is passionate about data science and artificial intelligence and is dedicated to bridging the gap between cutting-edge generative language models and their practical implementations in real life. Rafiq Muhammad has extensive experience in publishing systematic literature reviews in peer-reviewed journals, and teaching and supervising graduate students on how to conduct literature reviews. He also has experience teaching Master Level courses at Karolinska Institute. Rafiq has developed advanced skills in conducting high-quality systematic literature reviews independently (four systematic literature reviews already published and supervised several). During the last 6 years, He has published 10 scientific articles in peer-reviewed academic journals. He has spent the past several years immersing himself in data analytics using artificial intelligence and machine learning, conducting literature reviews, and teaching master-level courses in healthcare. As a medical doctor with expertise in data science, he has the right competence to conceptualize, design, and develop AI applications in healthcare.