Advanced Research Methodologies: Tools and Techniques for Scholars

Advanced Research Methodologies: Tools and Techniques for Scholars
Author :
Publisher : Academic Guru Publishing House
Total Pages : 255
Release :
ISBN-10 : 9789349028012
ISBN-13 : 9349028018
Rating : 4/5 (018 Downloads)

Book Synopsis Advanced Research Methodologies: Tools and Techniques for Scholars by : Dr. Varsha Agarwal

Download or read book Advanced Research Methodologies: Tools and Techniques for Scholars written by Dr. Varsha Agarwal and published by Academic Guru Publishing House. This book was released on 2024-12-23 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Research Methodologies: Tools and Techniques for Scholars is an essential guide for scholars seeking to deepen their understanding of research methodologies and improve their research practice. This book explores both traditional and cutting-edge methods used in academic research, providing a clear framework for selecting and applying the right techniques for various types of studies. It is aimed at graduate students, researchers, and academics across a variety of disciplines who want to enhance their research skills and understand the sophisticated tools available to them. The book is divided into well-organized chapters that cover essential topics such as research design, data collection, analysis methods, and ethical considerations. It introduces readers to key concepts in qualitative, quantitative, and mixed methods research, along with practical techniques for data analysis, such as statistical tools, software (e.g., SPSS, R, and Excel), and qualitative data interpretation methods like thematic analysis. The text goes beyond merely explaining concepts by providing guidance on the practical aspects of conducting research—helping readers learn how to formulate clear research questions, design effective studies, and analyze and interpret results with confidence. Moreover, the book addresses emerging trends in research, including the use of artificial intelligence and machine learning in data analysis, ensuring that scholars are prepared for the future of research in a rapidly evolving landscape.


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