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A Textbook of Research Methodology by Sonu Agrawal provides a structured and thorough introduction to the principles and practices of research. The book systematically guides readers through the entire research process, beginning with the identification of a research problem and the formulation of hypotheses. It then explores various research designs, including experimental, descriptive, and exploratory methods, and delves into sampling techniques, data collection methods, and tools for analysis. Both qualitative and quantitative approaches are addressed, with attention to their respective strengths and applications. The text also emphasizes ethical considerations in research and the importance of proper documentation and report writing. Designed as a core textbook for university courses, it includes illustrative examples, review questions, and case studies to reinforce learning. The content is tailored to meet the needs of students in social sciences, management, education, and other fields requiring a solid grounding in research methods, equipping them with the skills to design and execute their own research projects.
This book is ideal for undergraduate and postgraduate students enrolled in research methodology courses across disciplines such as social sciences, education, management, and health sciences. It is also valuable for early-career researchers, academicians, and professionals who need a foundational understanding of research design, data collection, and analysis. Additionally, it serves as a useful reference for those preparing dissertations, theses, or research proposals, and for anyone seeking to develop critical thinking and systematic inquiry skills.
- ✓ Comprehensive coverage of both qualitative and quantitative research methods
- ✓ Clear and structured presentation suitable for classroom use
- ✓ Includes practical examples and review questions to reinforce learning
- ✓ Addresses ethical considerations and report writing
- ✓ Accessible language for students new to research
- ✗ May lack in-depth treatment of advanced statistical techniques
- ✗ Examples may be generalized across disciplines rather than field-specific
- ✗ Limited focus on emerging digital research methods
- ✗ No companion website or online resources mentioned
- ✗ Could benefit from more case studies from diverse contexts
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