Structural Equation Modeling (SEM) for Social and Behavioral Sciences Studies: Steps Sequence and Explanation

Authors : Marwan Ghaleb, Murat Yaslioglu

Pages : 69-108

View : 535 | Download : 240

Publication Date : 2024-01-27

Article Type : Review Paper

Abstract :Structural equation modeling (SEM) is one of the multivariate analyses that is used to test complicated research models, which include several constructs that have a group of independent and dependent variables with a series of hypothesized relations and associations between them. It starts with examining the collected data by conducting a data screening analysis and descriptive statistics. The scale used to measure the variables should be examined by conducting factor analysis (EFA & CFA) to make sure the data fits the research measurement model and to assess the scale\'s reliability, validity, and its level of fit to the collected data. The analysis of multivariate assumption should be reviewed then path analysis can be done for hypotheses testing and getting the final results. The final results have to be explained and interpreted based on the research’s theoretical background and its literature foundation. This review paper explains these steps in detail for quantitative analysis students and other researchers who have basic knowledge of statistics, using simple words without diving deeply into statistics’ details and its related formulas.
Keywords : Yapısal Eşitlik Modellemesi YEM, Tanımlayıcı istatistikler, Faktör analizi, Güvenilirlik ve Geçerlilik, Yol analizi