This book on Research Methodology in Veterinary and Animal Sciences represents a synthesis of traditional veterinary and animal science expertise and modern computational intelligence including Generative AI. The conceptual framework, selection of pedagogical topics, and logical flow were meticulously curated through a reasonable review of foundational veterinary literature and research methodology.

While generative AI (Google Gemini) was utilized to draft initial explanations and structure complex data, every chapter has been manually reviewed, edited, and verified by the author for clarity, scientific accuracy, clinical relevance, and adherence to academic standards. The author maintains full responsibility for the content, interpretations, and conclusions presented herein.

Chapter 1. Research Methodology
Chapter 2. Research Problem
Chapter 3. Research Design
Chapter 4. Sampling Design
Chapter 5. Measurement and Scaling Techniques
Chapter 6. Methods of Data Collection
Chapter 7. Sampling Fundamentals
Chapter 8. Processing and Analysis of Data
Chapter 9. Skewness and Correlation
Chapter 10. Testing of Hypotheses
Chapter 11. Efficiency of Diagnostic Tests
Chapter 12. Research Report Writing
Chapter 13. Computer Software in Data Analysis
Chapter 14. Annexure
Chapter 15. Exercises for Practice
Chapter 16. Abbreviations
Chapter 17. References