Spss amos version 22

We employed the maximum likelihood method with Promax rotation for the exploratory factor
analysis. The cutoff value for the factor loadings was 0.4 or higher, based on Pett’s
recommendation31 ⁾. In confirmatory
factor analysis, Goodness of Fit Index; GFI, Adjusted Goodness of Fit Index; AGFI,
Comparative Fit Index; CFI, Root Mean Square Error of Approximation; RMSEA, Akaike’s
Information Criterion; AIC and Consistent Akaike’s Information Criterion; CAIC were used
as indices for comparing model fit. For the RMSEA, we also referred to the cutoff values;
≤0.05, recommended by Browne and Cudeck32 ⁾. Pearson’s correlation coefficient was used for the correlation
analysis, and an unpaired t-test was performed for the Good-Poor
analysis. The scale’s reliability was assessed using McDonald’s omega coefficient. In case
that the number of question items comprising the scale was only two, Spearman–Brown’s
coefficient was used instead of it17 (link)⁾.
For the reliability value, 0.7 or higher was considered acceptable, based on the report of
Fabrigar et al33 ⁾.
All analyses were performed using IBM SPSS Version 22 and 28, and IBM SPSS Amos Version
22 (IBM Corp., Armonk, NY, USA) for Windows. A two-sided p-value
<0.05, was considered statistically significant.

Data management and analysis were performed using IBM SPSS statistics version 22.0 and IBM SPSS AMOS version 22.0. software. Descriptive statistics included means and standard deviations for continuous variables, percentage and frequency for categorical variables. Correlations between character strengths and job crafting were tested using Pearson's Product–Moment correlations (r). In order to determine and quantify the relationship between character strengths and job crafting, the SEM was constructed. The model included two measurement models: one for the character strengths and the job crafting, and one structural model relating nurses' character strengths to their job crafting behaviours. Model fit criteria proposed by Bagozzi and Yi (1988 ) were used, and the overall model fit of the model was adopted to evaluate whether the data conform to the theoretical model. Chi‐square degree of freedom ratio, Goodness‐of‐Fit Index (GFI), Comparative Fit Index (CFI), Adjusted GFI (AGFI), the standardized root mean square residual (SRMR), the root mean square error of approximation (RMSEA), Normal Fit Index (NFI), Incremental Fit Index (IFI) and Non‐Normed Fit Index (TLI) were also considered. All reported p‐values are two‐tailed, and 0.05 level was used for statistical significance.