Issue Highlights

Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach

Manuel T. Rein, Jeroen K. Vermunt, Kim De Roover & Leonie V. D. E. Vogelsmeier

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Improved Goodness of Fit Procedures for Structural Equation Models

Njål Foldnes, Jonas Moss & Steffen Grønneberg

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modsem: An R Package for Estimating Latent Interactions and Quadratic Effects

Kjell S. Slupphaug, Mehmet Mehmetoglu & Matthias Mittner

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About

Structural Equation Modeling

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. More

Publishers

Wolters Kluwer Health & Psychology Press Ltd.

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.

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