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International Conference on Multilevel Modeling and Hierarchical Data Analysis (ICMMHDA-27)

16th - 17th Jan 2027,Jakarta Raya, Indonesia

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Call for Paper

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Important Dates


Early Bird Registration

17th Dec 2026

Paper Submission Deadline

22nd December 2026

Registration Deadline

1st January 2027

Conference Date

16th - 17th Jan 2027

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    Early-bird registration for the Science Cite Conference in Jakarta Raya ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Jakarta Raya conference.
  • Peer Review Process:
    The peer review process will begin soon for Jakarta Raya conference.
  • Networking with Global Experts:
    Join global experts at our conference in Jakarta Raya.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICMMHDA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Multilevel Modeling and Hierarchical Data Analysis, encouraging applied research, case studies, and industry-driven innovations.

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

  • Hierarchical models in social sciences
  • Multilevel modeling techniques and applications
  • Bayesian multilevel modeling approaches
  • Longitudinal data analysis methods
  • Statistical challenges in hierarchical data
  • Applications of multilevel modeling in education
  • Multilevel modeling in health research
  • Cross-classified models in statistics
  • Variance component estimation techniques
  • Statistical software for hierarchical analysis
  • Comparative studies using multilevel models
  • Multilevel modeling in economics research
  • Causal inference with hierarchical data
  • Meta-analysis of multilevel studies
  • Statistical power in multilevel designs
  • Multilevel modeling in environmental studies
  • Data collection strategies for hierarchical data
  • Ethical considerations in multilevel research
  • Multilevel modeling in policy analysis
  • Future directions in hierarchical data analysis

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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