MAXQDA Professional Trainer:
Bilgehan Ayik

• Advanced quantitative data analysis (Measurement Invariance, IRT, HLM, SEM)
• Qualitative data analysis (Thematic analysis)
• Mixed methods research
• Survey design (EFA&CFA)
• AI-assisted qualitative coding
• Comparative software evaluation
• Data visualization

• Research design consulting
• Mixed methods integration
• Qualitative analysis coaching
• AI-assisted analysis strategies
• Academic writing support for qualitative studies

I am a mixed methods researcher with a Master’s degree in Social Research Methodologies from the University of California, Los Angeles (UCLA), and currently a PhD candidate in Research Methods at George Mason University. I have hands-on experience with MAXQDA, using it to conduct thematic analyses and explore AI-assisted workflows. In our most recent study, my colleagues and I compared the thematic analysis capabilities of different AI tools. This work highlighted MAXQDA’s strengths in structured coding and theme generation, and I have shared these insights informally with academic and practitioner groups, generating strong interest in adopting MAXQDA. I am eager to demonstrate how MAXQDA can benefit both new and experienced users, particularly by showcasing the potential of AI integration to enhance qualitative research workflows.

Ayik et al. (manuscript in preparation). Submitted to the 2026 Annual Meeting of the American Educational Research Association (AERA) and scheduled for journal submission, September 2025.