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ResultsThe basic descriptive indicators for global trait El and its four factors assessed by the TEIQueSF questionnaire, for three main clusters and global level of Table 9.1 Descriptive indicators of all variables in a sample of Slovak adolescents (N=313)
Source: Authors' own compilation. career difficulties assessed by EPCD, and the level of generalized selfefficacy by GSES and of career decision selfefficacy by CDSE of our research sample, are presented in Table 9.1. Descriptive indicators in Table 9.1 enabled a comparison of the global trait El level in our research sample to the Slovak percentile norms for the late adolescence created by norm sample of N = 387; AM_{agc} = 16.6; SD= 0.5 (Kaliska et ah, 2015, p. 49). It can be concluded that the global trait El level (AM=4.8) of this research sample reached the 57th percentile. We can also conclude that all of the observed inner consistencies of the instruments estimated by Cronbach’s alpha coefficients reach acceptable values. Statistical analysis of skewness and kurtosis were in the normal distribution for the analyzed variables, therefore the relations were estimated by parametric statistical analyses. The variable relation estimate was carried out using parametric Pearson correlation analysis (r) enabling determination of the direction and strength of relations between variables (Table 9.2) followed by a threestep regression analysis in Table 9.3 where the global trait El level was entered as the last one. Table 9.4 presents the results of the threestep regression analysis where the individual factors of trait El level were entered as the last ones. The global level of trait El and its four factors were negatively correlated to all the scales and the global level of career difficulties (supporting HI). The strongest negative and significant correlations were between the global level of career decisionmaking difficulties and the selfcontrol, sociability, and wellbeing factor from trait El. Table 9.2 Correlation analysis of the variables (N=313)
Notes: * = p < .05, ** = p < .01, *** = p < .001. Source: Authors' own compilation. Table 9.3 Regression analysis for career difficulties by global trait El level
Notes: * = p < .05, ** = p < .01, *** = p < .001. Source: Authors' own compilation. The career decision selfefficacy entered into positive significant and medium to strong correlations with trait EI and its four factors, and generalized selfefficacy. Then career decision selfefficacy and generalized selfefficacy were strongly positively related to each other (supporting H3), and both constructs were strongly negatively related to career decisionmaking difficulties (supporting H2). The hierarchical threestep regression analysis was conducted to determine if the global level of the career difficulties as dependent variable could be predicted by the career decisionmaking selfefficacy level (Step 1), the generalized selfefficacy level (Step 2), and the global trait El level (Step 3) to support also the incremental validity of trait El. The results are presented in Table 9.3. A threestep hierarchical regression was performed to investigate the prediction potential of the trait El of career decisionmaking difficulties level and at the same time to prove the incremental influence of trait El over and above the career decision selfefficacy and generalized selfefficacy. The career decision selfefficacy was entered at Step 1, then the career decision self efficacy and generalized selfefficacy at Step 2, and at Step 3 both constructs were added followed by the global level of trait El. In summary, two models (at Steps 1 and 3) were statistically significant. The career decisionmaking selfefficacy level predicted almost 36 percent of the variance in career difficulties level. Then at Step 3, trait El, was entered 192 Eva Sollarova and Lada Kaliska Table 9.4 Regression analysis for career difficulties by significant trait El factors
Notes: * = p < .05, ** = p < .01, *** = p < .001. Source: Authors’ own compilation. on its own above the career decision selfefficacy and generalized selfefficacy. Only the model with trait El was found to be a significant negative predictor of career decisionmaking difficulties, over and above the career decision self efficacy level (H4). The generalized selfefficacy lost its influence. Trait El predicted a significant almost 3 percent of unique variance in career decisionmaking difficulties after controlling for the career decision selfefficacy level supporting incremental validity of trait El with remaining partial correlation of r=.200. Next we explored which factors of trait El level would stay as a significant predictor of career decisionmaking difficulties. There was a hierarchical twostep regression analysis conducted (general selfefficacy was dropped) to determine if the global level of career difficulties as the dependent variable could be predicted by the career decisionmaking selfefficacy level and three factors (selfcontrol, sociability, wellbeing) of the trait El. The results are presented in Table 9.4. Only a twostep hierarchical regression was performed to investigate the prediction potential of the trait El factors of the career decisionmaking difficulties level over and above the career decision selfefficacy. The career decision selfefficacy entered at Step 1, and then at Step 2 were three significant factors (selfcontrol, sociability, wellbeing). It can be concluded that both models stay statistically significant (p < .001). Out of three trait El factors, only two  selfcontrol and sociability  remained significant (RQ2) predicting significantly more than 7 percent of unique variance in career decisionmaking difficulties. However, only the self control factor remains in the significant level of negative relation (r=.291) to career difficulties while controlling for other variables in the model. 
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