Impact of Hopelessness on Performance: A Quantitative Analysis

Abstract

This study analyzes the relationship between hopelessness and Total Average using a simple linear regression model, in order to assess how negative emotional states can affect performance. The research is based on theoretical approaches such as the Theory of Emotional Apprehension in Learning, the Theory of Learned Helplessness and psychometric models that explain the impact of emotions on productivity. It is hypothesized that an increase in hopelessness is associated with a decrease in the total average, suggesting that adverse psychological states may be determinants of individual performance.
To evaluate this relationship, a quantitative design based on econometric techniques was used. The estimated model shows that the coefficient of the variable Hopelessness is negative and significant (p<0.005p < 0.005), indicating that as hopelessness increases, performance decreases. In addition, the model meets the fundamental assumptions of regression, including tests of specification, linearity, and absence of autocorrelation. The conclusions highlight that Hopelessness can be a critical factor in performance, which has implications in both the educational and labor fields. The evidence obtained suggests that implementing strategies for emotional management and the regulation of affective states could improve individual outcomes. It is recommended that future research include mediating and moderating variables to deepen the understanding of this relationship.