Table 2 Hierarchical multiple regression analysis with JS as the dependent variable, and SEA as one of the predictors ( n =129)
From: Emotional intelligence, emotional labor, and job satisfaction among physicians in Greece
Predictors | R 2 | Fchange | B | SE | Beta | t | p | 95% CI forB | Tolerance |
|---|---|---|---|---|---|---|---|---|---|
Block 1: | .027 | F(2,126)=1.748 | .178 | ||||||
Age | .414 | 1.326 | .029 | .313 | .755 | −2.210,3.038 | .747 | ||
Gender | −1.945 | 1.810 | -.087 | −1.074 | .285 | −5.529,1.638 | .949 | ||
Block 2: | .044 | F(1,125)=2.188 | .142 | ||||||
Days of duty | -.581 | .494 | -.107 | −1.777 | .241 | −1.558,.396 | .753 | ||
Block 3: | .050 | F(1,124)=.729 | .395 | ||||||
SEA | .009 | .218 | .003 | .040 | .968 | -.422,.440 | .944 | ||
Block 4: | .232 | F(1,123)=29.189 | <.001 | ||||||
SA | −1.138 | .211 | -.443 | −5.403 | <.001 | −1.555,-.721 | .930 |