Table 2.
Regression analysis of the relationship between professional identification and career adaptability.
Regression equation | Fitting index | Significance | ||||
---|---|---|---|---|---|---|
Result variable | Predictor variable | R | R 2 | F | β | t |
Career adaptability | Gender | 0.602 | 0.362 | 52.863 | 0.275 | 1.164 |
Age | −0.047 | −1.628 | ||||
Degree level | 0.146 | 1.203 | ||||
Professional identification | 0.596 | 14.377*** | ||||
Teacher efficacy | Gender | 0.433 | 0.188 | 21.500*** | −0.179 | −0.673 |
Age | −0.035 | −1.090 | ||||
Degree level | 0.115 | 0.835 | ||||
Professional identification | 0.431 | 9.202*** | ||||
Self-leadership | Gender | 0.640 | 0.409 | 51.407*** | −0.202 | −0.891 |
Age | −0.027 | −0.986 | ||||
Degree level | −0.043 | −0.370 | ||||
Professional identification | 0.483 | 10.897*** | ||||
Teacher efficacy | 0.254 | 5.730*** | ||||
Career adaptability | Gender | 0.754 | 0.568 | 81.132*** | 0.424 | 2.176* |
Age | −0.023 | −0.983 | ||||
Degree level | 0.134 | 1.339 | ||||
Professional identification | 0.238 | 5.477*** | ||||
Teacher efficacy | 0.164 | 4.139*** | ||||
Self-leadership | 0.485 | 10.912*** |
All variables in the model have been standardized. The control variables are gender, age and degree level, the independent variable is professional identification, and the outcome variable is career adaptability.
*p < 0.05; ***p < 0.001.