Call for Paper
The ICAMMHDA is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Statistics,Data Science the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Multilevel modeling in educational research
- Hierarchical data analysis techniques
- Bayesian multilevel models applications
- Statistical methods for longitudinal data
- Multilevel modeling of health outcomes
- Cross-classified models in social sciences
- Random effects models for clustered data
- Statistical approaches to nested data structures
- Applications of multilevel modeling in psychology
- Multilevel modeling in environmental studies
- Statistical software for hierarchical modeling
- Challenges in multilevel data analysis
- Modeling variance components in multilevel data
- Multilevel modeling for policy evaluation
- Statistical techniques for meta-analysis
- Multilevel structural equation modeling
- Applications in public health research
- Statistical inference in multilevel frameworks
- Comparative studies using multilevel methods
- Future directions in hierarchical modeling
Peer Review & Quality
All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.
Registration
Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.
Publication
High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.