Successful Research Methodology Event
The Petroleum and Mining Engineering Department at Tishk International University successfully organized a national workshop titled “How to Deal with Missing Data in Your Researches” on October 8th, 2025. The event, held in Hall 302 of the Education Building, provided comprehensive guidance on addressing one of research’s most common challenges through expert presentation by Professor Dr. Tariq H. Kakahama.
Workshop Content
Comprehensive Topic Coverage
Definitions and symbols of missing data in research
Mechanisms and causes of data absence
Classification tree for missing data techniques
Advantages and disadvantages of various methods
Favorable conditions for technique application
Practical numerical examples using real cases
Learning Objectives
Research Quality Enhancement
Ensuring data quality and completeness standards
Preserving statistical power in analysis
Avoiding bias in research outcomes
Improving model accuracy and generalization
Enhancing research reliability and validity
Participant Engagement
Interactive Session Structure
Theoretical concepts presentation and explanation
Numerical examples demonstrating practical application
Question and answer discussion period
Active participation from academic staff
Cross-departmental knowledge exchange
Audience Response
Workshop Reception
Strong interest from academic staff across departments
Appreciation for practical research methodology value
Recognition of topic relevance to research quality
Engagement with statistical methodology improvement
Value acknowledgment for research outcome enhancement
Institutional Appreciation
The department expressed gratitude to:
Professor Dr. Tariq H. Kakahama for expertise sharing
All attendees for active participation and engagement
Contributing participants for workshop success
This national workshop successfully addressed a critical research methodology challenge, providing academic staff with practical tools and techniques for handling missing data while enhancing overall research quality and statistical reliability across multiple disciplines.
Keywords: Missing Data Workshop, Research Methodology, Data Analysis, Statistical Techniques, Research Quality, Academic Workshop, Data Integrity, Research Excellence, Statistical Power












