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Journal of Health Management and Informatics، جلد ۱۰، شماره ۳، صفحات ۱۱۱-۱۲۰
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عنوان انگلیسی Tutorial on Structural Equation Modeling in Medical Research: A Review Article
چکیده انگلیسی مقاله Structural equation modeling (SEM) as a quantitative approach can greatly help the researcher in the analysis of multivariate experimental data. This issue can be more significant in medical research. The results of SEM are expected to be more realistic than the results of regression analysis. SEM is a combination of measurement and structural models. The measurement model in SEM is divided into two types of reflective indicators and constructive indicators. Fitting indicators of measurement models (external model) include index reliability, convergent validity and divergent validity. Structural models indices (internal model) include Significant numbers t (T - values), Coefficient of determination (R2), The effect size (f2), Predictive Relevance (Q2 criterion), Quality Index, Communality Criterion (sharing index) and Redundancy Criterion. Overall fit indicators also include GOF criterion. In the present study, various methods and indicators of structural equation modeling have been developed in full detail, which can help researchers in conducting their studies in the field of structural equations.
کلیدواژه‌های انگلیسی مقاله Structural Equation Modeling,Partial least squares approach,Fit evaluation indicators,Exploratory factor analysis,Confirmatory factor analysis
نویسندگان مقاله Farzan Madadizadeh |
Center for healthcare Data modeling, Departments of biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Sajjad Bahariniya |
PhD student, Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran

نشانی اینترنتی https://jhmi.sums.ac.ir/article_50002_1f84b548cebbe9c54458e159db9b9069.pdf
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