VOLUME 11 ISSUE 1 SPRING 2025

Spirituality Studies 11-1 Spring 2025 63 Carmen María Salvador-Ferrer 3 Results This section presents several blocks that correspond to the different statistical analyzes performed. The first part of the data corresponds to the descriptive analysis and the correlation analysis. The second part includes the findings obtained in the linear regression analysis. Finally, in the third part, the results corresponding to the mediation analysis are presented. 3.1 Descriptive Analysis and Correlation Analysis As presented in Table 1, the data related to the mean scores, on all scales, show high results (above the midpoint on each scale). On the other hand, when the Pearson correlation between variables is analyzed, there is a statistically significant bivariate correlation in most relationships between variables. Table 1 Descriptive Analysis and Correlation Analysis of the Variables Mean Standard deviation 1.RELI 2.PROPO 3.SELFEST 4.POSELF 5.NEGASELF 1. Religiosity (RELI) 2.00 1.14 2. Life Purpose (PROPO) 5.29 1.01 .132** 3. Self-Esteem (SELFEST) 3.11 .608 .077* .617** 4. Positive Self-Esteem (POSELF) 3.25 .615 .069* .568** .898** 5. Negative Self-Esteem (NEGASELF) 2.22 .524 -.054 -.500** -.854** -.546** Note: ** Correlation is significant at the 0.001 level (bilateral). * Correlation is significant at the 0.05 level (bilateral). In more detail, it is observed that the most significant relationship is obtained in the purpose in life vs. self-esteem pair (r=.617, p=.001), followed by the purpose in life vs. religiosity pair (r=.132, p=.001). In the case of self-esteem dimensions, the relationship between purpose in life vs. negative self-esteem is negative and statistically significant (r=-.500, p=.001).

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