Air Component CounterTerrorism Actions and their Impact on VRAEM Development, 2018
Descripción del Articulo
This research had the general objective of demonstrating the impact of the counter-terrorist actions of the air component on the development of the Valley of the Apurímac, Ene and Mantaro rivers (VRAEM) for the period 2018. The methodology was under the quantitative approach. It was a basic type of...
Autores: | , |
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Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Centro de Altos Estudios Nacionales |
Repositorio: | Revista de Ciencia e Investigación en Defensa |
Lenguaje: | español |
OAI Identifier: | oai:ojs2.recide.caen.edu.pe:article/31 |
Enlace del recurso: | https://www.recide.caen.edu.pe/index.php/recide/article/view/31 |
Nivel de acceso: | acceso abierto |
Materia: | ACCIONES CONTRATERRORISTAS FUERZA AEREA VRAEM DEFENSA NACIONAL Defensa aérea Defensa Nacional Air defense National defense |
Sumario: | This research had the general objective of demonstrating the impact of the counter-terrorist actions of the air component on the development of the Valley of the Apurímac, Ene and Mantaro rivers (VRAEM) for the period 2018. The methodology was under the quantitative approach. It was a basic type of research that is located at the explanatory level, using a non-experimental and cross-sectional design, and was correlational in scope. The population was made up of 551,000 inhabitants of the VRAEM, while to select the sample, a statistical calculation was performed considering a finite universe of the population, obtaining a sample of 51 people. The survey was used as a technique and two duly validated and reliable questionnaires as an instrument. The data processing was carried out with the SPSS software (version 23), making the descriptive and inferential analysis by means of ordinal logistic regression, regarding the validation of the hypotheses, the Pearson chi-square test was performed. It was concluded that the counter-terrorist actions of the air component significantly influence the development of the VRAEM, period 2018, due to the likelihood ratio that indicates that the logistics model is significant (p <0.05); it fits the data well (deviation with p <0.05), and explains 64.9% of the dependent variable (development of the VRAEM). |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).