Emotional Intelligence and Trust in Servant Leadership
Research design
Statistical analysis
All the analysis related to both the measurement models and structural models was conducted using LISREL 8.80. A test of multivariate normality was conducted to determine whether the data violated the assumption of normality. The results suggested that the data deviated from normality in terms of skewness and kurtosis. Hence, the robust maximum likelihood method of estimation was used to estimate the various models. Several fit indices were used, including the Satorra-Bentler scaled chi-square, root mean square error of approximation (RMSEA), standardised root-mean square residual (SRMR), comparative fit index (CFI), and the goodness of fit index (GFI). Values close to 0.95 for GFI and CFI are considered indicative of good model fit. It is suggested that values close to 0.06 are indicative of acceptable fit for RMSEA, whilst values less than 0.08 are acceptable for SRMR. In addition, Akaike's information criterion (AIC) is used in the comparison of competing measurement and structural models with smaller values representing a better fit for the proposed model.
Cronbach's alpha (a) was used to estimate the reliability associated with each of the dimensions related to the constructs investigated in the current study. Reliability estimates that are 0.70 and higher are indicative of good reliability. However, estimates as low as 0.60 may be acceptable when conducting exploratory research.