Results
The descriptive indicators for global trait El assessed by the TEIQueSF questionnaire, for eight distinct intelligences by MI Test of our research sample, are presented in Table 6.5.
Statistical analysis of skewness and kurtosis supported the normal distribution of the analyzed variables, therefore parametric Pearson correlation analysis (r) and regression analysis were used to examine the relation and complementarity of MI and trait El.
Pearson correlation analysis determined the direction and strength of relations between the global level of trait El and the Multiple Intelligences types of Gardner’s theory (Table 6.6).
Referring to the correlational analysis, the global level of trait El was significantly positively moderately correlated only to interpersonal intelligence, especially with a strong significant positive relation between interpersonal intelligence and the sociability factor from Petrides’s trait El concept. Two
Table 6.6 Correlation analysis of the global Trait El and MI types
Trait El (TEIQue SF) N=266 
Multiple Intelligences (MI Test) 

Linguistic 
Logical Math 
Music 
Spatial 
Bodily Kines 
Persona! intelligence 
Natural 

Intra 
Inter 

Wellbeing 
.132* 
.112 
.014 
.024 
.191" 
.015 
.285**' 
.142* 
Selfcontrol 
.113 
.277**' 
.054 
.034 
.148* 
.062 
.159" 
.123* 
Emotionality 
.174" 
.034 
.119 
.166" 
.082 
.017 
.189" 
.044 
Sociability 
.138* 
.169” 
.015 
.024 
.144* 
.181" 
.467*** 
.030 
Global trait El 
.201" 
.207" 
.010 
.082 
.145* 
.067 
.360*** 
.132* 
Note: * = p < .05, ** = p < .01, *** = p < .001. Source: Authors’ own compilation.
Table 6.7 Summary of hierarchical regression analysis for variables predicting global trait emotional intelligence (N=266)
Global Trait El 

Residual 
F1 F change 
R adj. 
02 ^{л} change 

Step 1 
94.630 
38.060**’ 
.123 

Step 2 
91.125 
10.128** 
.152 
.032 

Step 3 
84.498 
20.549*** 
.211 
.061 

Beta 
t 
Partial correlations 

Step 1 Interpersonal 
.355 
6.169*** 
.355 

Step 2 Interpersonal Linguistic 
.346 .180 

.352 .193 

Step 3 Interpersonal Linguistic LogicalMathematical 
.377 .160 .250 

.390 .177 .270 
Note: ** = p < .01, *** = p < .001. Source: Authors' own compilation.
significant weak positive correlations were found between the global trait El level and linguistic and logicalmathematical intelligence.
The regression analysis was conducted only with the intelligence types that were significantly related to the global level of trait El as presented in Table 6.7.
The last aim of the study was to conduct a hierarchical threestep regression analysis to determine if global trait El as the dependent variable could be predicted by the interpersonal, linguistic, and logicalmathematical intelligence (as presented in Table 6.7).
At Step 1, the model was statistically significant and interpersonal intelligence predicted 12 percent of the variance in global trait El. Then, at Step 2, linguistic intelligence was entered. It was again found to be a significant positive predictor of global trait El, over and above interpersonal intelligence while linguistic intelligence predicted a significant 3 percent of unique variance in global trait El after controlling for interpersonal intelligence in our sample. At Step 3, logicalmathematical intelligence was entered. A significant positive predictor of global trait El was again found in the form of logical mathematical intelligence. Logicalmathematical intelligence predicted a significant 6 percent of unique variance in global trait El after controlling for interpersonal and linguistic intelligence at the same time in our sample with a remaining positive significant weak relation to trait El while controlling for other entered variables.