About the Journal


"Moroccan Journal of Quantitative and Qualitative Research" -
E-ISSN:2665-8623 - MJQR is a peer-reviewed, free-of-charge, and open-access journal for publishing original research articles related to quantitative and qualitative research in multidisciplinary areas.

MJQR is dedicated to publishing reviews and empirical works that use quantitative and qualitative methods to study new issues and challenges in Social Science, Management, Economy, and Education. It also publishes works related to the societal impact of technological change, engineering innovations, health, and environmental science.

To promote research and academic collaboration in Africa, we are interested in works that study phenomena from Moroccan and the African context.

MJQR is devoted to full-length research papers and methodological articles. It encourages the publication of review articles, especially Systematic Literature Reviews, Scoping reviews, Mapping Reviews, bibliometric analyses, Meta-Analyses, and meta-synthesis.

MJQR accepts only well-written English articles without any issues of plagiarism. It is published three times yearly (March, June, and December).

MJQR is published and sponsored by the Moroccan Association of Applied Sciences and Innovation (MAASI) and Ibn Tofail University (UIT).

Indexation news: from 2024, MJQR is submitted for evaluation and possible inclusion in Scopus (Evaluation tracking link).


Current Issue

Vol. 6 No. 1 (2024)
Published: 29-02-2024


  • The Portrayal of Migration Motivations and Conditions for Moroccan Jewish Characters in Moroccan Cinema: The Case of "Where Are You Going Moshe?" and "Goodbye Mothers"

    Ilias El Ofir, Azize Kour, Yamina El Kirat El Allame
    DOI: https://doi.org/10.48379/IMIST.PRSM/mjqr-v6i1.47981
  • Exploring Media Framing Effects on Moroccans’ Views and Perceptions of Sub-Saharan Immigrants on Facebook

    DOI: https://doi.org/10.48379/IMIST.PRSM/mjqr-v6i1.47982
  • Insights of Underage Marriage in Morocco

    DOI: https://doi.org/10.48379/IMIST.PRSM/mjqr-v6i1.45714
  • New GIS Approach using Machine Learning Algorithm for early floods Detection

    imane satauri
    DOI: https://doi.org/10.48379/IMIST.PRSM/mjqr-v5i1.38974
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