In the fields of natural, animal and agricultural sciences, effective study design and appropriate sampling techniques are essential for producing valid and reliable research results. One of the critical components of study design is determining the optimal sample size, which ensures adequate power to detect meaningful effects while minimizing costs and resources.
This workshop will provide participants with a comprehensive understanding of study design principles, sampling methods, and sample size calculations with real-world applications in their respective fields.
Outline of workshop
Day 1 ( May 15-2025; 9:15-12:00):
- Introduction to Study Design
- Overview of the importance of study design in research, highlighting key components such as research questions, hypotheses, and variables.
- Types of Study Designs
Discussion on various study designs including observational and experimental approaches, with their respective strengths and weaknesses.
- Importance of Sample Size Calculation
Exploration of the role of sample size in ensuring research validity, addressing consequences of inadequate sample sizes, and introducing concepts of statistical power and error types.
- Sample Size Calculation Methods
Detailed methods for calculating sample size based on factors like effect size, variability, desired power level, and significance level, along with an introduction to software tools for these calculations.
Day 2 ( May 16-2025 ; 9:15-12:00):
- Sampling Techniques
- Examination of probability and non-probability sampling methods, emphasizing their relevance and selection criteria for different research contexts.
- Applications in Natural, Animal, and Agricultural Sciences
Presentation of case studies and examples that illustrate the application of study design, sampling techniques, and sample size calculations in real-world scenarios.
- Practical Workshop Activities
Group activities focusing on designing studies and calculating sample sizes for specific research questions, followed by presentations and feedback sessions.
- Conclusion and Q&A
Summary of key concepts and an open forum for questions and discussions.