An Introduction to Structural Equation Modeling

Arie Hasman

69 citations0/0 files storedStudies in health technology and informatics

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Psychometric Methodologies and Testing Statistical Methods and Applications Statistical Methods and Bayesian Inference

Abstract

In this contribution the principles behind Structural Equation Modeling (SEM) are presented. SEM is used for assessing the quality of models that are proposed on the basis of theory and experience. This contribution has an introductory level.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 69 citations exist upstream.

Cited by

2022Trust, Media Credibility, Social Ties, and the Intention to Share towards Information Verification in an Age of Fake News 2023Investigation of Project Delays: Towards a Sustainable Construction Industry 2021The Effects of the Strategy and Goal on Business Performance as Mediated by Management Accounting Systems 2023Analyzing the cycling behaviors of Chinese adolescents through structural equation models 2021Faktor Penerimaan Pengguna pada E-Learning dari Perspektif Siswa Sekolah Dasar Berbasis UTAUT Model 2024Neighborhood facilities and physical self-efficacy of older adults: The mediating role of daily activity opportunities 2022THE STUDY OF TRAVEL SATISFACTION IN MRT JAKARTA DURING THE PANDEMIC OF COVID-19 2023E-Learning Application Usage in Higher Education with Technology Acceptance Model (TAM) for Students’ Assessment

Imported from OpenAlex (CC0) — nothing here is generated.