The Influence of Different Input Types on Self-Efficacy: A Regression Analysis

Firstly, the regression analysis revealed that the behavioral input did not have a significant effect on self-efficacy as the regression coefficient value was only 0.065 and the p-value was 0.281, which is greater than the alpha level of 0.05. This suggests that changes in behavioral input do not have a meaningful impact on the level of self-efficacy.

Secondly, the regression coefficient value of cognitive input was 0.312, indicating a significant positive relationship with self-efficacy. This finding is supported by the t-value of 4.325 and a p-value of 0.000, which is less than the alpha level of 0.01. Thus, cognitive input has a strong and positive influence on self-efficacy.

Thirdly, emotional input was found to have a significant positive relationship with self-efficacy, as indicated by the regression coefficient value of 0.142, a t-value of 2.787, and a p-value of 0.006, which is less than the alpha level of 0.01. This suggests that changes in emotional input can lead to an improvement in self-efficacy.

Finally, the regression analysis revealed that social input does not have a significant impact on self-efficacy as the regression coefficient value was only 0.086 and the p-value was 0.179, which is greater than the alpha level of 0.05. Therefore, changes in social input do not seem to influence the level of self-efficacy.