Associations and direction of associations tested in this study were based on the existing literature. Path analysis was performed to test the significance of association and to identify direct and indirect effects of variables using IBM SPSS Amos V.21. The effect of interaction among some coping subscales with subscales of premigration and postmigration living difficulties was calculated by multiplying the respective variables; thereby interaction terms were created. Then, the effect of each interaction term was tested for its significance of association with PTSD or depression symptoms using independent path analysis. For Item Level Content Index (I-CVI), values of 0.78 or higher are considered to be valid indices for content validity if the instrument is rated by 6–10 experts.26 (link) In the present study, the cut-off values for fit indices of an acceptable model included values of χ2/df less than 3, greater than or equal to 0.95 for CFI, greater than or equal to 0.95 for TLI, less than or equal to 0.06 to 0.08 for RMSEA and less than or equal to 0.08 for SRMR.41 (link)
Spss amos v 21
Manufactured by IBM
SPSS Amos V.21 is a statistical software package used for structural equation modeling, path analysis, and confirmatory factor analysis. It provides a graphical user interface for building models, estimating parameters, and assessing model fit.
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Lab products found in correlation
3 protocols using spss amos v 21
1
Coping Strategies and Migration Difficulties
2
Validation and Application of QFIS-TP Protocol
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The validity of the content of the initial QFIS-TP was determined by sending an email to two types of judges (university educators and school management teams), permitting the modification of any items and elimination of others, when considered to be repetitive.
Upon validation, the QFIS-TP was applied to the professors on-line, using the survey platform of the University of Murcia. The research method was quantitative, non-experimental, descriptive and transversal, survey-type. Next, the data were analyzed using the IBM SPSS, v. 24 and IBM SPSS Amos, v.21 programs.
Upon validation, the QFIS-TP was applied to the professors on-line, using the survey platform of the University of Murcia. The research method was quantitative, non-experimental, descriptive and transversal, survey-type. Next, the data were analyzed using the IBM SPSS, v. 24 and IBM SPSS Amos, v.21 programs.
3
Structural Equation Modeling of Soil P Dynamics
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If not otherwise stated, we estimated significant differences by using the one-way analysis of variance. Permutational multivariate analysis of variance was conducted using the function adonis in the vegan package of R. Canonical analysis of principal coordinates was used to estimate effects of soil physicochemical factors on PSB number and gene abundance using the capscale function in the vegan package. A structural equation model was built to reflect potential linkage among soil physicochemical factors, gene abundance, and PSB number using IBM SPSS Amos v.21. For the structural equation model (SEM), the PC1 value of the first axis of the principal-component analysis, accounting for 99.89% of the total variation, was applied as a proxy for representing P components (i.e., TP, labile P, IP, OP, NAIP, and AP).
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