Philip Adu – författare

The Theoretical Framework in Phenomenological Research: Development and Application is an introduction to phenomenology in which the authors overview its origin, main ideas and core concepts. They show the application and relevancy of phenomenological tenets in practical qualitative research, as well as demonstrate how aligning theory and method enhances research credibility.In this detailed but digestible explanation of phenomenological theories, the authors explore the ideas of the main founders pertaining to the meaning of perceived reality and the meaning of being, and how these founders articulated their methodologies. In doing so, The Theoretical Framework in Phenomenological Research fills the well-documented gap between theory and practice within phenomenology by providing a much-needed bridge between the foundational literature and applied research on the subject, focusing equally on theory and practice. The book includes practical demonstrations on how to create theoretical/conceptual frameworks in applied phenomenological research. It also features detailed, step-by-step illustrations and examples regarding how researchers can develop frameworks and use their concepts to inform the development of themes at the data analysis stage. A reliable guide underpinned by foundational phenomenology literature, The Theoretical Framework in Phenomenological Research is an essential text for researchers, instructors, practitioners and students looking to design and conduct phenomenological studies in a manner that ensures credible outcomes.

The Theoretical Framework in Phenomenological Research: Development and Application is an introduction to phenomenology in which the authors overview its origin, main ideas and core concepts. They show the application and relevancy of phenomenological tenets in practical qualitative research, as well as demonstrate how aligning theory and method enhances research credibility.In this detailed but digestible explanation of phenomenological theories, the authors explore the ideas of the main founders pertaining to the meaning of perceived reality and the meaning of being, and how these founders articulated their methodologies. In doing so, The Theoretical Framework in Phenomenological Research fills the well-documented gap between theory and practice within phenomenology by providing a much-needed bridge between the foundational literature and applied research on the subject, focusing equally on theory and practice. The book includes practical demonstrations on how to create theoretical/conceptual frameworks in applied phenomenological research. It also features detailed, step-by-step illustrations and examples regarding how researchers can develop frameworks and use their concepts to inform the development of themes at the data analysis stage. A reliable guide underpinned by foundational phenomenology literature, The Theoretical Framework in Phenomenological Research is an essential text for researchers, instructors, practitioners and students looking to design and conduct phenomenological studies in a manner that ensures credible outcomes.

Dissertation Research Methods: A Step-by-Step Guide to Writing Up Your Research in the Social Sciences focuses specifically on the methodology for planning, writing and submitting your dissertation thesis. Written by two methodology experts in the social sciences, the book provides a step-by-step guide through each stage of the dissertation process.It covers all aspects of the methodological considerations needed, from choosing a topic or research question, developing a literature review, identifying research gaps, accessing potential study participants, utilizing the right sampling strategies, analyzing data and writing up findings. Readers are introduced to the main research methods normally used in dissertations and their characteristics, and they are guided to choose an appropriate research method for their study, provide a substantial description of the selected method and articulate strong arguments in support of it. The book is filled with templates, exemplars and tools to help students write about methodology in their thesis and to equip readers to successfully troubleshoot any methodology challenges they may face.This compact book will be of use to all graduate students and their supervisors in the Social Sciences and Education and Behavioural Sciences who are looking for a guide to working with robust and defensible methodological principles in their dissertation research and theses.

Dissertation Research Methods: A Step-by-Step Guide to Writing Up Your Research in the Social Sciences focuses specifically on the methodology for planning, writing and submitting your dissertation thesis. Written by two methodology experts in the social sciences, the book provides a step-by-step guide through each stage of the dissertation process.It covers all aspects of the methodological considerations needed, from choosing a topic or research question, developing a literature review, identifying research gaps, accessing potential study participants, utilizing the right sampling strategies, analyzing data and writing up findings. Readers are introduced to the main research methods normally used in dissertations and their characteristics, and they are guided to choose an appropriate research method for their study, provide a substantial description of the selected method and articulate strong arguments in support of it. The book is filled with templates, exemplars and tools to help students write about methodology in their thesis and to equip readers to successfully troubleshoot any methodology challenges they may face.This compact book will be of use to all graduate students and their supervisors in the Social Sciences and Education and Behavioural Sciences who are looking for a guide to working with robust and defensible methodological principles in their dissertation research and theses.

A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings.The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to:Analyze qualitative data and present their findingsSelect an appropriate qualitative analysis toolDecide on the right qualitative coding and categorization strategies for their analysisDevelop relationships among categories/themesChoose a suitable format for the presentation of the findingsIdeal for qualitative research instructors, students, and social or health science professionals, this guide helps you combine proven methods with emerging AI capabilities.New to this edition:Full-color illustrations for greater clarity and engagementAdditional visualizations to help you learn and apply coding techniquesA new chapter on AI-assisted analysis, covering:Ethical and effective AI usePrompting strategies for better outputsHow to create your own AI tool for data analysis

A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings.The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to:Analyze qualitative data and present their findingsSelect an appropriate qualitative analysis toolDecide on the right qualitative coding and categorization strategies for their analysisDevelop relationships among categories/themesChoose a suitable format for the presentation of the findingsIdeal for qualitative research instructors, students, and social or health science professionals, this guide helps you combine proven methods with emerging AI capabilities.New to this edition:Full-color illustrations for greater clarity and engagementAdditional visualizations to help you learn and apply coding techniquesA new chapter on AI-assisted analysis, covering:Ethical and effective AI usePrompting strategies for better outputsHow to create your own AI tool for data analysis

This book is a compelling edited collection that serves as a supportive companion for current and aspiring doctoral students grappling with the unique challenges of their academic journeys.This anthology features authentic stories that illuminate the mental and emotional hurdles faced during the PhD process, providing readers with a platform to share and reflect on their experiences. Through a blend of humor and heartfelt storytelling, this book fosters a sense of community among doctoral candidates, allowing them to realize they are not alone in their struggles. In this essential guide, readers will discover a rich tapestry of narratives addressing critical issues such as academic isolation, psychological trauma, and the intense pressures of scholarly life. Contributors offer practical advice and resilience-building strategies, empowering readers to confront their own challenges with confidence. Each chapter adheres to a thematic framework, ensuring that personal accounts are paired with valuable insights that resonate deeply with the reader.This book is designed for current and former doctoral students seeking validation and encouragement, as well as graduate programs and libraries aiming to support their students. By capturing the diverse experiences of doctoral holders from various backgrounds and disciplines, this book not only enriches the conversation surrounding academic life but also positions itself as a vital resource in navigating the complexities of pursuing a doctorate.

This book is a compelling edited collection that serves as a supportive companion for current and aspiring doctoral students grappling with the unique challenges of their academic journeys.This anthology features authentic stories that illuminate the mental and emotional hurdles faced during the PhD process, providing readers with a platform to share and reflect on their experiences. Through a blend of humor and heartfelt storytelling, this book fosters a sense of community among doctoral candidates, allowing them to realize they are not alone in their struggles. In this essential guide, readers will discover a rich tapestry of narratives addressing critical issues such as academic isolation, psychological trauma, and the intense pressures of scholarly life. Contributors offer practical advice and resilience-building strategies, empowering readers to confront their own challenges with confidence. Each chapter adheres to a thematic framework, ensuring that personal accounts are paired with valuable insights that resonate deeply with the reader.This book is designed for current and former doctoral students seeking validation and encouragement, as well as graduate programs and libraries aiming to support their students. By capturing the diverse experiences of doctoral holders from various backgrounds and disciplines, this book not only enriches the conversation surrounding academic life but also positions itself as a vital resource in navigating the complexities of pursuing a doctorate.

A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings. The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples.After reading this book, readers will be able to: Analyze qualitative data and present their findings Select an appropriate qualitative analysis tool Decide on the right qualitative coding and categorization strategies for their analysis Develop relationships among categories/themes Choose a suitable format for the presentation of the findingsIt is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields.