Discriminant Function Analysis as interpretive tool for the Study on Mobile Phone Overuse in students of the Bachelor's degree in Administrative Data Processing of the Autonomous University of Mexico State, University Center UAEM Temascaltepec
Abstract
The aim of this article was to demonstrate the effectiveness of the Multiple Discriminant Analysis (MDA) statistical method, as a technique for the interpretation of the results of a study conducted in the Autonomous University of Mexico State, University Center UAEM Temascaltepec in students of the Bachelor's degree in Administrative Data Processing about Mobile Phone Overuse, also known as Smartphone Addiction. The levels of addiction were gender-differentiated with precision, which allowed classifying new cases, and due to their characteristics make the most of the relations between the independent variables to differentiate them more efficiently. “The Discriminant Analysis starts from a Data Table of "n" individuals, who have been measured by "p" independent quantitative variables, that act as the characteristics of each profile” (Carvajal, Trejos, and Soto Mejía, 2004). With this method the Discriminant Analysis provided that only 100 cases out of 112 students surveyed were valid, corresponding to the 89.3% of the total sample; also, the group statistics reported 66 cases male and 34 female, and the statistic of the contrast of global significance Wilks's Lambda was moderately high (0.621). Table analysis of variance with statistical F allowed contrasting the hypothesis of equality of means between groups, sensing that only two variables make the difference in the representation of gender: Use of mobile devices (P≤0. 042) and frequency of use of the mobile device (P≤0. 036). The logarithmic sample of the determinants of all matrices used in the statistical calculation showed overlap occurs in both groups, which indicates that they tend to equality: Do you use a mobile device?, women gained 59.46% compared to 36.49% of men, while in the item: How often do you use your mobile device?, women reached 72.97% in contrast to 54.05% of male. Finally, the Multiple Discriminant Analysis method showed its effectiveness to find differences in the addiction by gender.
Downloads
References
Cáceres, R. Á. (1994). Estadística multivariante y no paramétrica con SPSS aplicacion a las Ciencias de la Salud. Madrid España: Ediciones Díaz de Santos.
Carvajal, P., Trejos, A., & Soto, J. (Agosto 2004) Aplicación del analisis discriminante para explorar la relación entre el examen de ICFES y el rendimiento en Algebra Lineal de los estudiantes de Ingeniería de la UTP en el período 2001-2003. Volúmen X, Núm. 25 pp. 191-196. Obtenido de Redalyc: http://www.redalyc.org/articulo.oa?id=84911685034
Trejos, A., Carvajal, P. & Barrera, M. (Agosto de 2004). Generador de procesos normales multivariados. Obtenido de Redalyc: http://www.redalyc.org/articulo.oa?id=84911685033
Closas, A., Arriola, E., Kuc C., Amarilla, M., & Jovanovich, E. (2013). Análisis multivariante, conceptos y aplicaciones en Psicología Educativa y Psicometría. Enfoques, 25(1), 65-92. Obtenido de SciELO:http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=s1669-27212013000100005&lng=es&tlng=es.
Departamento de Psicología Evolutiva y de la Educación Universidad de Sevilla. (2012). Informe sobre uso de nuevas tecnologías y riesgo de adicciones entre adolescentes y jóvenes andaluces. Obtenido de umaantelasdrogas.wordpress.com: https://umaantelasdrogas.files.wordpress.com/2012/06/informe-nntt-y-adicciones-u-sevilla.pdf
Dorantes, E., Mendoza, R., & Baena, G. (Octubre de 2016). El analisis de componentes principales como herramienta para la interpretación de un estudio de Nomofobia en la Zona Rural del Estado de Mexico. Obtenido de Revista Atlante: Cuadernos de Educación y Desarrollo: http://www.eumed.net/rev/atlante/2016/10/nomofobia.html
Escobar, L., A. (Mayo 2008). Indicadores ambientales sintéticos: Una aproximación conceptual desde la estadística multivariante gestión y ambiente. Obtenido de Redalyc: www.redalyc.org/articulo.oa?id=169414452008
González, A., Llinás, H., & Tilano, J. (2008). Análisis multivariado aplicando componentes principales al caso de los desplazados. Volúmen 23, pp. 119- 142. Obtenido de Redalyc: http://www.redalyc.org/articulo.oa?id=85202310
Lopez, C. (2004). Técnicas de Analisis Multivariantes de Datos. Madrid, España: Pearson, Prentice Hall.
Mendoza, R., Baena, G., & Baena, M. (Octubre de 2013). Nomofobia: Identificación del porcentaje de alumnos de Licenciatura en Informática Administrativa del Centro Universitario UAEM Temascaltepec Afectados. Obtenido de Hdl.handle.net: http://hdl.handle.net/20.500.11799/49672
Namakforoosh, M. N. (2000). Metodología de la investigación, area de ciencias sociales. Mexico: Editorial Limusa.
Pedrero, E., Rodrígues, M., & Ruíz, J. (2012). Adicción o abuso del teléfono móvil. Revisión de la Literatura. Volúmen 24 Núm. 2 pp. 139-152. Obtenido de Redalyc: http://www.redalyc.org/articulo.oa?id=289122912007
Pulido, M., Berrrenchea, A., Hugues, J., Quiroz, F., Velazquez, M., & Yunes, C. (Diciembre de 2013). Uso problematico de las nuevas tecnologías de la información en estudiantes universitarios. Volúmen 16, Núm. 4. Obtenido de Revista Electrónica de Psicología Iztacala: http://www.iztacala.unam.mx/carreras/psicologia/psiclin/vol16num4/Vol16No4Art3.pdf
Quero, M., e Inciarte, K. (2012). Clasificación de las Técnicas Estadísticas Multivariantestelos. Vol. 2 Núm. 2. Obtenido de Redalyc: http://www.redalyc.org/articulo.oa?id=99323311009
Rolph, A., Ronald, T., y Hair J. (2007). Analisis Multivariante (5 ed.). Madrid, España: Pearson, Prentice Hall.
SECO, G. V. (1992). Técnicas multivariadas aplicadas a las ciencias del comportamiento. Madrid España: Universidad de Oviedo.
In order to promote the development and dissemination of research in education in Latin America, the Ibero-American Journal for Educational Research and Development (RIDE) adhered to the Budapest Open Access Initiative, which is why it is identified as a Open access publication. This means that any user can read the complete text of the articles, print them, download them, copy them, link them, distribute them and use the contents for other purposes. Creative Cummons licenses allow users to specify the rights to use an open access journal available on the Internet in such a way that users know the rules of publication. Authors who publish in this journal accept the following conditions: Authors they keep the author's rights and give the magazine the right of the first publication, with the work registered with the attribution license of Creative Commons, which allows third parties to use the published material whenever they mention the authorship of the work and the first publication in this The authors can make other independent and additional contractual agreements for the non-exclusive distribution of the version of the article published in this journal (eg, include it in an institutional repository or publish it in a book) as long as they clearly indicate that The work was published for the first time in this magazine. Authors are allowed and recommended to publish their work. low on the Internet (for example on institutional or personal pages) before and during the review and publication process, as it can lead to productive exchanges and to a greater and faster dissemination of the published work
