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Applications of Structural Equation Modelling in Social Sciences Research

Year: 2025

Type: article

Abstract: Structural Equation Modeling (SEM) has emerged as a powerful analytical tool in social sciences research, offering a robust approach to examining complex relationships among observed and latent variables. Unlike traditional regression models, SEM enables researchers to simultaneously analyze multiple dependent and independent variables, account for measurement errors, and evaluate theoretical models comprehensively. This paper provides an overview of SEM applications in social sciences, emphasizing its advantages, key methodological steps, and limitations.

Source: International Journal of Social Sciences and Public Administration

DOI: 10.62051/ijsspa.v6n3.17

Authors: Wang Jing, Ali Salman

Institutions: Kuala Lumpur University of Science & Technology, Zhengzhou University of Technology, Universiti Malaysia Kelantan

Language: English

Topic: Psychometric Methodologies and Testing

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4409427273

FWCI:

Cites: 11

Cited by: 2

Related to: 10