Thematic Guide to Research Methodology: Exploring the Principles, Standards and Ethics
Language: English
Published by Independently published, 2026
- Softcover
- New

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- Title
- Thematic Guide to Research Methodology: Exploring the Principles, Standards and Ethics
- Author
- Fofanah, Abdul Joseph; Dumbuya, Ibrahim
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798292921912
Thematic Guide to Research Methodology is a comprehensive guide designed to help researchers effectively employ thematic analysis—a widely used and adaptable qualitative method in health services research. The book explores the theoretical foundations, key approaches, and step-by-step processes of thematic analysis, supported by practical examples and expert tips. It also addresses critical ethical, epistemological, and methodological challenges, offering actionable solutions. Suitable for researchers across diverse disciplines and experience levels, this resource empowers users to conduct rigorous thematic analysis and generate meaningful, impactful insights.
ABOUT THE AUTHORS
Abdul Joseph Fofanah: The author is a Data Scientist and Researcher who has worked in the computer science field for over 12 years. His principal research interests include, but are not limited to, medical image processing, healthcare systems and informatics, machine learning algorithms, and deep learning. He has been teaching in the Department of Mathematics and Computer Science at Milton Margai Technical University for over 13 years and currently holds the post of Senior Lecturer. During the Ebola outbreak, he worked tirelessly with IOM in Sierra Leone as a Data Manager and Population and Mobility Mapping (PMM) Expert on projects in Sierra Leone, Kenya, Nepal, Afghanistan, Myanmar, and Thailand. He has scientific research experience with over 20 articles, has participated in some international conferences in artificial intelligence (AI), and has written four (4) books related to steganography, machine learning, database technologies, and research techniques. The author holds the following academic credentials: H.T.C(Sec.), B.Sc. (Hons.), M.Sc., M.Eng., PhD (USA) and currently pursuing PhD in Australia and hold the position HDR Teaching Fellow at Griffith University. You can connect with him on google scholar and with his ORCID: 0000-0001-8742-9325.
Ibrahim Dumbuya: The author is an accomplished Industrial Economist and lecturer with over ten years of experience teaching Mathematics, Physics, and Social Sciences across prestigious institutions in Sierra Leone. Beginning at Sierra Leone Grammar School, he later served at Milton Margai College of Education's Department of Mathematics and Computer Science for five years, and currently holds a dual role at Njala University as both lecturer and Acting Head of the Industrial Technology Department. His research specializes in firm analysis, reflecting his expertise in industrial economics. With a robust academic foundation, the author holds a BSc in Mathematics and Chemistry, an MSc in Statistics, and a PhD in Industrial Economics, demonstrating his interdisciplinary approach to education and research. This unique combination of qualifications enables him to bridge theoretical concepts with practical applications, enriching both his teaching methodology and research contributions in the field of industrial technology and economics.
ABOUT THE AUTHORS
Abdul Joseph Fofanah: The author is a Data Scientist and Researcher who has worked in the computer science field for over 12 years. His principal research interests include, but are not limited to, medical image processing, healthcare systems and informatics, machine learning algorithms, and deep learning. He has been teaching in the Department of Mathematics and Computer Science at Milton Margai Technical University for over 13 years and currently holds the post of Senior Lecturer. During the Ebola outbreak, he worked tirelessly with IOM in Sierra Leone as a Data Manager and Population and Mobility Mapping (PMM) Expert on projects in Sierra Leone, Kenya, Nepal, Afghanistan, Myanmar, and Thailand. He has scientific research experience with over 20 articles, has participated in some international conferences in artificial intelligence (AI), and has written four (4) books related to steganography, machine learning, database technologies, and research techniques. The author holds the following academic credentials: H.T.C(Sec.), B.Sc. (Hons.), M.Sc., M.Eng., PhD (USA) and currently pursuing PhD in Australia and hold the position HDR Teaching Fellow at Griffith University. You can connect with him on google scholar and with his ORCID: 0000-0001-8742-9325.
Ibrahim Dumbuya: The author is an accomplished Industrial Economist and lecturer with over ten years of experience teaching Mathematics, Physics, and Social Sciences across prestigious institutions in Sierra Leone. Beginning at Sierra Leone Grammar School, he later served at Milton Margai College of Education's Department of Mathematics and Computer Science for five years, and currently holds a dual role at Njala University as both lecturer and Acting Head of the Industrial Technology Department. His research specializes in firm analysis, reflecting his expertise in industrial economics. With a robust academic foundation, the author holds a BSc in Mathematics and Chemistry, an MSc in Statistics, and a PhD in Industrial Economics, demonstrating his interdisciplinary approach to education and research. This unique combination of qualifications enables him to bridge theoretical concepts with practical applications, enriching both his teaching methodology and research contributions in the field of industrial technology and economics.
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