# Core Competency Quantitative Evaluation of Air Traffic Controller in Multi-Post Mode
## 5 Example Verification and Analysis
### Questionnaire Data Analysis
#### 5.2.5 The Classification and Grading Construction of the Adapted ATCO Core Competency Model  
Using the above EFA and CFA methods, the adapted ATCO core competency model is classified into four categories: General post, TWR post, APP post, and ACC post model. The index system is shown in Table 5.  
According to the core competency index content and index weight research results of 978 questionnaires, the General core competency model is constructed as seven dimensions and 28 secondary indexes. \begin{table}
\begin{tabular}{c c c c c c c} \hline
**Commonly Used Indexes** & \(\mathbf{x^{2}}\)**/df** & **RMSEA** & **RMR** & **CFI** & **NFI** & **TLI** \\ \hline Reference standard & \textless{}5 & \textless{}0.10 & \textless{}0.05 & \textgreater{}0.9 & \textgreater{}0.9 & \textgreater{}0.9 \\ Test results & 4.635 & 0.061 & 0.025 & 0.945 & 0.931 & 0.936 \\ \hline \end{tabular}
\end{table} 
Table 4: CFA fitting results of the general model. Figure 4: Structure model of general air traffic controller core competency. (2) ATCO core competency model of the TWR post  
According to 171 questionnaires of the TWR post controllers, the above methods are used for factor analysis and model verification. The chi-square degree of freedom ratio \(x^{2}/\)df is 1.939 \(<\) 5, and the overall fitting degree of the model is good. The ATCO core competency model of the APP post is constructed as seven dimensions and 26 secondary indexes. (3) ATCO core competency model of the APP post  
According to 357 questionnaires of the APP post controllers, the same method as above is used for factor analysis and model verification. The chi-square degree of freedom ratio \(x^{2}/\)df is 2.295 \(<\) 5, and the overall fitting degree of the model is good. The ATCO core competency model of the APP post is constructed with seven dimensions and thirty secondary indexes. (4) ATCO core competency model of the ACC post  
According to 275 questionnaires of the ACC post controllers, factor analysis and model verification are carried out by using the same method as above. The chi-square degree of freedom ratio \(x^{2}/\)df is 3.118 \(<\) 5, and the overall fitting degree of the model is good. The ATCO core competency model of the ACC post is constructed with seven dimensions and 27 secondary indexes. (5) ATCO core competency model of the ACC post  
According to the different tasks of specific jobs, the above four classification and grading models generally show certain convergence and differences in structure and content. The specific performance is as follows:  
(1) The four types of model structure are the same, they all maintain the seven dimensions of Separation and conflict resolution, Situational awareness, Self-management, Workload management, Communication and coordination, Traffic and capacity management, and Non-routine situations management. However, the ranking of the extracted factor load coefficients is different, which is manifested in the order of dimension naming. The main reason is that the dimensional importance of various models is different, that is, the focus of various posts is inconsistent. The General, TWR, and APP post models mainly focus on the competency dimension of \(F_{1}\) Separation and conflict