Hybrid Conferencee

International Conference on Applied Multilevel Modeling and Hierarchical Data Analysis (ICAMMHDA - 26)

28th - 29th August 2026 | Madrid, Spain
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Madrid. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Madrid event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Madrid conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Madrid, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Madrid."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICAMMHDA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Statistics,Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Multilevel modeling in educational research
02
Hierarchical data analysis techniques
03
Bayesian multilevel models applications
04
Statistical methods for longitudinal data
05
Multilevel modeling of health outcomes
06
Cross-classified models in social sciences
07
Random effects models for clustered data
08
Statistical approaches to nested data structures
09
Applications of multilevel modeling in psychology
10
Multilevel modeling in environmental studies
11
Statistical software for hierarchical modeling
12
Challenges in multilevel data analysis
13
Modeling variance components in multilevel data
14
Multilevel modeling for policy evaluation
15
Statistical techniques for meta-analysis
16
Multilevel structural equation modeling
17
Applications in public health research
18
Statistical inference in multilevel frameworks
19
Comparative studies using multilevel methods
20
Future directions in hierarchical modeling