Logistic regression for the classification and risks for professional perfomance

Gutiérrez H.Ó.C.; Gutiérrez M.M.C.; Gamarra J.H.G.; Jiménez S.L.R.; Flores B.P.E. · TECHNO Review. International Technology, Science and Society Review / Revista Internacional de Tecnología, Ciencia y Sociedad (2023) · DOI: 10.37467/revtechno.v13.4967

Resumen

The objectives were to determine the factors associated with professional perfor-mance. To establish a relationship between the dependent variable professional performance and direct support of job quality, logistic regression was used. In conclusion, logistic regression establishes an association between professional performance and direct support: The Wald statistic is 2.79 and a significance of 0.094<0.10. The association simulation between professional performance and direct support has Chi-square Yates of 0.313 and a significance of 0.576>0.10. The Pearson statistic is 0.78 and a significance of 0.001. The predictive confidence interval for correlation has been determined as: [0.41,1]. © GKA Ediciones, authors.

Instituciones: Universidad Nacional de Trujillo; Universidad Nacional del Callao