The results of this study showed that out of 100 nurses, 68 were female (68%) and 32 were male (32%). Of these, 42 nurses (42%) were under 30 years old, and 58 nurses (58%) were over 30 years old. Additionally, 59 nurses (59%) held a bachelor's degree, while 41 nurses (41%) had a master's degree or higher.
Table 1 shows the mean, standard deviation, minimum, and maximum scores for the organizational culture, leadership competence, and service quality variables. Based on the results in
Table 1, organizational culture, leadership competence, and service quality among the research sample are generally in the average to high range, as indicated by the mean, minimum, and maximum values.
| Scales and Subscales | Mean ± SD | Minimum - Maximum |
|---|
| Leadership competence | 74.84 ± 23.12 | 29 - 105 |
| Integrity | 18.16 ± 6.16 | 8 - 28 |
| Strategic thinking | 15.56 ± 4.71 | 6 - 22 |
| Organizational development | 11.64 ± 3.91 | 4 - 17 |
| Collaboration | 11.84 ± 4.03 | 4 - 19 |
| Self-awareness | 17.64 ± 5.24 | 10 - 25 |
| Organizational culture | 115.56 ± 18.18 | 80 - 151 |
| Involvement | 28.03 ± 5.07 | 18 - 38 |
| Consistency | 28.59 ± 4.45 | 20 - 37 |
| Adaptability | 28.4 ± 5.88 | 11 - 38 |
| Mission | 30.56 ± 6.01 | 14 - 41 |
| Service quality | 194 ± 16.76 | 162 - 229 |
| Expectations | 117.84 ± 11.77 | 99 - 137 |
| Perceptions | 76.16 ± 12.65 | 50 - 102 |
Table 2 presents the correlation results between organizational culture, leadership competence, and service quality variables using the Pearson correlation coefficient, considering statistical assumptions (normality). The correlation coefficients in
Table 2 reveal a significant and positive correlation between organizational culture and leadership competence (P < 0.05). Additionally, there is a positive correlation between service quality and both organizational culture and leadership competence (since the correlation coefficient is between ± 1). However, this relationship is not significant (P > 0.05) and cannot be generalized to the entire population; it applies only to a portion of the sample.
| Variables | Organizational Culture | Leadership Competence | Service Quality |
|---|
| Organizational culture | 1 | | |
| Leadership competence | 0.633 | 1 | |
| Service quality | 0.274 | 0.0304 | 1 |
a Pearson correlation coefficient; P < 0.01.
Furthermore, the research model was examined using the structural equation modeling (SEM) approach. Various tests and indices for evaluating structural equation models, known as fit indices, are shown in
Table 3.
| Index | IFI | CFI | GFI | SRMR | Chi-Square/df | RMSEA | Ideal Value (18) |
|---|
| Desired Value | > 0.9 | > 0.9 | > 0.9 | < 0.08 | 1 - 3 | < 0.08 | |
| Current Value | 0.801 | 0.799 | 0.725 | 0.166 | 6.5 | 0.236 | |
Model fit refers to how well a theoretical or conceptual model aligns with the observed data from the population. To evaluate the adequacy of the model fit, the following indices were examined:
Chi-square/df (χ²/df): This index considers the number of free parameters in calculating the fit. Acceptable values typically range from 1 to 3, indicating a good fit. In this study, the χ²/df value was 6.5, suggesting a moderate relative fit.
Root mean square error of approximation (RMSEA): This index reports the error of approximation in the population and is expressed as a decimal. Acceptable values are below 0.08, while values above 0.1 indicate a moderate to poor fit. The RMSEA value for this model was 0.236, suggesting a nearly moderate fit.
Comparative Fit Index (CFI): This index compares the improvement of the proposed model against a baseline model with no relationships among variables. Values greater than 0.9 are considered acceptable. In this model, the CFI was 0.799, indicating a nearly moderate fit.
Goodness of Fit Index (GFI): This index measures the proportion of variance explained by the model, ranging from 0 to 1. Values greater than 0.9 are deemed acceptable. The GFI for this model was 0.725, indicating a nearly moderate fit.
Standardized root mean square residual (SRMR): This index evaluates the average of the standardized residuals. Lower values, ideally closer to zero, reflect a better fit (
19). For this model, the SRMR was 0.166, indicating a nearly moderate fit.
The findings summarized in
Table 3 suggest that the overall model fit is moderate.
P-values were used to evaluate the model's significance. A P-value less than 0.05 indicates that the model is statistically significant at a 95% confidence level. In this model, the P-value = 0.000, confirming the model's significance.
Figures 1 and
2 illustrate the results of the goodness-of-fit indices for the research model in both standardized and significance states. The RMSEA value of 0.24 was employed to assess the model's fit and parsimony. Generally, RMSEA values of 0.05 or less indicate a good fit, while values above 0.1 suggest a moderate to poor fit. Therefore, the findings indicate that the research model has a nearly moderate fit.
Structural equation model in standardized form
Structural model of the research in significance state