Structural Equation Modeling (SEM)
Structural Equation Modeling (SEM) is an international peer-reviewed journal that has become a leading platform for the development and application of advanced statistical modeling techniques. SEM is devoted to publishing research that addresses the theory, methodology, and practice of SEM in its broadest sense, making it a key reference point for scholars who wish to analyze complex relationships among variables and explore innovative quantitative approaches. SEM serves a wide scholarly community, with contributions spanning psychology, education, social sciences, health research, economics, and other disciplines where sophisticated modeling is essential.
SEM is guided by respected academic publishers, including Wolters Kluwer Health (UK) and Psychology Press Ltd. (UK), and it benefits from international recognition through major research indexing databases. This dual affiliation reflects the journal’s strength in bridging methodological rigor with interdisciplinary research, ensuring that authors’ work is positioned in a venue known both for technical quality and broad scholarly relevance. SEM has built a reputation as a trusted and respected research journal where methodological contributions are treated with the same importance as applied research, offering authors the confidence that their work will reach an audience that values both innovation and precision.
SEM encourages the submission of articles that expand the boundaries of structural equation modeling, including new estimation strategies, refinements in model fit evaluation, innovations in measurement theory, and applications to emerging areas of research. SEM also welcomes integrative reviews and critical examinations of modeling practices that stimulate debate and encourage methodological progress. By publishing in SEM, authors contribute to an international dialogue that not only advances statistical theory but also demonstrates the practical value of SEM in addressing real-world research questions.
Over the years, SEM has attracted a global readership of scholars, researchers, and practitioners who seek both depth and clarity in methodological work. Its readership includes methodologists at the cutting edge of statistical development as well as applied researchers who rely on SEM to generate insights into human behaviour, organizational processes, social systems, and health outcomes. This unique combination of audiences makes SEM an ideal platform for authors whose work is both technically sound and intellectually creative.
Publishing in SEM offers visibility, credibility, and impact. Articles are rigorously reviewed to ensure scholarly integrity and are showcased within a journal environment that values originality, clarity, and applicability. For authors, this means their research not only reaches a wide international audience but also influences the way structural equation modeling continues to evolve as a discipline. SEM stands as a journal that rewards creativity, fosters innovation, and connects methodological advancement with meaningful scientific discovery.