Spss amos ver23

To discover what elements increased perceived injustice and pain catastrophizing, linear regression models were created for associations between demographic variables and the IEQ-J total score, the IEQ-J subscale scores, and the total PCS score.
The significance level of statistical hypothesis testing was set at p = 0.05. CFA was performed using IBM SPSS Amos ver23 (IBM Corp., New York, USA); sample size for ICCs analysis was determined by PASS software ver13 (NCSS, Utah, USA), and ICCs analysis used IBM SPSS ver21 (IBM Corp., New York, USA). Other than those listed, statistical analyses were performed using SAS version 9.4 (SAS Institute Inc., North Carolina, USA).

The results of the Mantel test and network indicated that most of soil properties, wheat physiology and wheat growth parameters were poorly correlated with the rhizosphere communities, so the structural equation model (SEM) and variation partitioning analysis (VPA) were only focused on the root endophytic communities.
A SEM was implemented with the software IBM SPSS AMOS (Ver. 23) with maximum-likelihood estimation and visualized by the affinity designer software (Serif Ltd., Nottingham, United Kingdom). Model fitness was examined using the χ² tests, the comparative fit index (CFI) and the root mean square error of approximation (RMSEA). Low χ² values (p > 0.05), high CFI (>0.90) and low RMSEA (<0.05) indicated a well-fitting model. VPA determined the explanatory degree among strain FN0603, specific biomarkers, root endophytic bacterial communities, root endophytic fungal communities, rhizosphere soil properties, wheat physiology and wheat growth.