NSEM: Nexus of Strucutral Equation Modeling

About the Journal

Nexus of Structural Equation Modeling (NSEM)

JOURNAL  IDENTITY

Title	:	NSEM: Nexus of Structural Equation Modeling
Initials	:	NSEM
Country	:	Indonesia
Subject	:	Structural Equation Modeling, Interdisciplinary Modeling, Data Science, Quantitative Analysis in Socio-Techno Sciences
Publication Language	:	English
ISSN	:	3164-2675
Frequency	:	Biannual (June and December)
DOI	:	Prefix xx.xxxxx / Crossref
Editor-in-chief	:	Prof. Dr. Bambang Widjanarko Otok, M.Si.
Publisher	:	Arcstics Publishing
Indexing	:	Google Scholar. and View more
OAI	:	https://journals.arcstics.id/nsem/index

Nexus of Structural Equation Modeling (NSEM) aims to become the leading journal in presenting original research articles and review papers about Structural Equation Modeling (SEM), approaches to explain Socio-Techno Sciences phenomena. NSEM provides a platform for the dissemination of original empirical studies and comprehensive review articles that contribute to theoretical development and practical applications of SEM techniques. NSEM encourages submissions that utilize a wide range of SEM methodologies, including to Path Analysis, Confirmatory Factor Analysis, Multi-Group SEM, Moderated Mediation, and Latent Growth Modeling. Theoretical articles address new developments; applied articles deal with innovative structural equation modeling applications. Emphasis is placed on the rigorous application of these techniques to real-world problems in diverse fields such as Science, Economics, Finance, Business/Marketing, Management, Engineering, Psychology, Medicine, Sociology, and Computer Science. Manuscripts should demonstrate methodological soundness, theoretical significance, and potential implications for practice or policy

Submissions to NSEM are carefully evaluated to ensure they meet the high standards of scientific rigor and originality that the journal is known for. Articles are expected to contribute new insights into Socio-Techno Sciences questions through SEM methods, whether it's through causal modeling, statistical analysis, or other quantitative techniques. This rigorous review process ensures that each publication within the journal represents a meaningful contribution to the field, offering researchers and practitioners valuable resources for expanding their knowledge and application of structural models. Ultimately, NSEM aims to be a key source of inspiration and information for scientists and academics working at the intersection of statistics, multivariate, and causal modeling. All accepted manuscripts will be subjected to double-blind reviews by expert reviewers.