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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Rotación de personal : predicción con modelo de regresión logística multinivel

Quispe Millones, Sandra Giovana January 2014 (has links)
Se analiza la rotación del personal en una empresa privada a través de un modelo de regresión logística de 2 niveles, buscando establecer la relación entre las características del trabajador, el área en que trabaja y la desvinculación laboral durante el periodo de prueba de 6 meses establecido por la empresa. Se introducen conceptos de modelos lineales generalizados, regresión logística y modelos multinivel que sirven como base para describir los aspectos más relevantes de la regresión logística multinivel y sus ventajas frente a los modelos de un solo nivel. Se analizó la desvinculación de los trabajadores (primer nivel) anidados en áreas de la empresa (segundo nivel), identificando la variabilidad existente entre las áreas ( =0.28) y el perfil del desertor. Los resultados se comparan con los obtenidos con un modelo de regresión logística múltiple de un solo nivel, se encontraron diferencias respecto al aporte de las variables estado civil, escala remunerativa del puesto y beneficios adicionales brindados por el área. / It is a turnover analysis in a private company through a multilevel logistic regression model of 2 levels seeking to establish the relationship between worker characteristics, the area in which they work and the termination of employment during the period of six months test set by the company. Concepts are introduced of generalized linear models, logistic regression and multilevel models that serve as a basis for describing the most important aspects of the multilevel logistic regression and its advantages over single-level models. The decoupling of workers (first level) nested in areas of the business (second level), are analyzed, identifying the variability between areas (ρ = 0.28) and the profile of the deserter. The results are compared with those obtained with a multiple logistic regression model of one level. Differences were found with respect to input variables marital status, remuneration scale and fringe benefits. Concepts are introduced generalized linear models, logistic regression and multilevel KEY WORDS : TURNOVER, OCCUPATIONAL GROUP, LOGISTIC REGRESSION, MULTILEVEL MODEL. / Tesis

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