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First, to test the proposed measurement model, confirmatory factor analysis (CFA) was performed with maximum likelihood estimation of the covariance matrix (AMOS 18.0).

To assess the construct validity of the AREALD-30 based on a conceptual model, Confirmatory Factor Analysis (CFA) was conducted.

Local independency was tested by examining the residual correlations among questions in one-factor model confirmatory factor analysis [ 21].

SEM analysis of our proposed model consisted of two separate elements, of which the first is a measurement model (confirmatory factor analysis-CFA) and the second is a structural model.

Model confirmatory approaches such as structural equation modeling (SEM) [ 35] and dynamic causal modeling (DCM) [ 36] can offer fairly detailed descriptions of node relationships, but, they rely on the pre-specification of a model and are limited in the size of network that can be modeled.

The results of two-factor model confirmatory factor analysis showing the correlation between inattentiveness and hyperactivity/impulsivity factors that was.56 are displayed in Table 2. Chi-square = 384.65, df = 209, P valu < 0.0001, Root Mean Square Error of Approximation (RMSEA) = 0.098, Non-normed Fit index (NNFI) = 0.96, Comparative Fit index = 0.96.

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Next, with the predictive models we took the modified confirmatory model (model 2) as the base and added this second-order factor as well as job satisfaction as criteria (model 3: IPO and model 4: IO).

Stage 2 were proposed measurement model by confirmatory factor analysis (CFA).

We present a comprehensive two-step modeling approach that employs sequential χ2 difference tests in specification, assessment of fit and respecification of measure model using confirmatory factor analysis.

Second Conclusions related to the comparison of participants with diverse educational backgrounds are described as follows: The reliability, validity, and correlation coefficient analysis results met the test standards, and The model of Confirmatory factor analysis(CFA) had a good fit in terms of the theoretical and empirical data structure.

The final conclusions are as presented below: First The reliability, validity, and correlation coefficient analysis results met the test standards, and The model of Confirmatory factor analysis(CFA) had a good fit in terms of the theoretical and empirical data structure.

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