3.1.Favoritism scale confirmatory factor analysis (CFA)
Structural Equation Modeling (SEM) may be viewed as a general model of many commonly employed statistical models, such as analysis of variance, analysis of covariance, multiple regression, factor analysis, path analysis, econometric models ofsimultaneous equation and nonrecursive modeling, multilevel modeling, and latent growth curve modeling. Readers are referred to Tabachnick & Fidell (2007) for an overview of many of these methods. Through appropriatealgebraic manipulations, any one of these models can be expressed as astructural equation model. Hence, SEM can be viewed as an “umbrella” encompassing a set of multivariate statistical approaches to empirical data, both conventional and recently developed approaches.(Jichuan; and Xiaoqian, 2020)
The first-level factorial structure of the Favoritism in Ship crew management scale consisting of three dimensions and a total of 22 items (5 items in operational processes favoritism, 8 items in social rights favoritism and opportunities and 7 items in demographic and personal characteristics favoritism) was tested by using the AMOS 21 software. As a result of the first-level confirmatory factor analysis (CFA) of the scale, 2 items were kept out of the model due to errors, and the analysis was repeated. The goodness of fit values obtained as a result of the first-level CFA are given below.
Table 5. Structural equation modeling conformity values