Yapısal eşitlik modelleri Temel kavramlar ve örnek uygulamalar

2000-01-01
Sümer, Nebi
Structural equation modeling (SEM) is a comprehensive statistical approach used in testing hypotheses about "causal" relationships among measured and latent variables. In recent years, considering its advantages over more conventional statistical techniques, there has been a growing interest in using SEM in analyzing data and testing models among social scientists. In this article, a brief review of basic concepts and issues associated with SEM, including specific strategies and stages in model testing, such as model specification, identification, estimation, and evaluation and differences between confirmatory factor analysis and structural model testing, was presented. Two specific examples regarding the application of SEM were presented in the final part of the paper. First example presents an application of confirmatory factor analysis with LISREL on the items of Parenting Style Questionnaire to examine its factor structure. Second example involves testing a proposed model with latent variables in which sensation seeking and aggression were expected to predict average speed through traffic violations. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
Citation Formats
N. Sümer, “Yapısal eşitlik modelleri Temel kavramlar ve örnek uygulamalar,” pp. 49–74, 2000, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/73668.