A fast finite sample count symmetric component extraction method for use in grid side converters

The objective of this paper is to examine the factors affecting the choice of entrepreneurship among the university going students for starting their own business, their awareness about the schemes promoted by the government of Oman for entrepreneurship. The schemes by the government of Oman for promoting entrepreneurship. The data for the study is obtained from primary source with the use of well structured and pre-tested questionnaires, which were distributed among 150 students of different colleges of Dhofar University, Salalah, and Sultanate of Oman. The factor analysis using principal component extraction method with Varimax rotation has extracted 5 factors which explained 63.74 percent of the variance.

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Saberes digitales en el profesorado universitario. Estudio en una escuela mexicana.

Revista de Educación a Distancia (RED) ◽

10.6018/red.447911 ◽

2021 ◽

Vol 21 (66) ◽

Author(s):

José Alejandro Lara Rivera ◽

Julio Cabero Almenara

Keyword(s):

Extraction Method ◽

Statistical Tests ◽

Principal Component ◽

Statistical Relationship ◽

Varimax Rotation ◽

Academic Degree ◽

Sphericity Test ◽

Component Extraction ◽

Digital Knowledge ◽

And Gender

Se presenta una investigación empírica que evalúa los saberes digitales en profesores de educación superior, los datos fueron recopilados en una institución mexicana ubicada en el noroeste del país. La muestra es probabilística aleatoria simple compuesta por 224 profesores clasificados desde las variables Edad, Grado académico y Género, ya que, se trabajó con el hipotético de que los conocimientos tecnológicos están relacionados con estos factores. Con la finalidad de buscar relación estadística en el agrupamiento de los datos, se realizó un factorial exploratorio por Kaiser-Meyer-Olkin (KMO) y prueba de esfericidad de Bartlett con el método de extracción de componentes principales y rotación varimax. Se aceptaron solo los factores con un autovalor superior a 1 y un peso factorial por ítem superior al 0.40. Posteriormente se realizaron pruebas estadísticas no paramétricas para identificar relaciones desde las variables de cruce. Los hallazgos dan cuenta de que la Edad de los profesores es un factor diferenciador para la apropiación de saberes digitales. An empirical research is presented that assesses digital knowledge in higher education teachers, the data was collected in a Mexican institution located in the northwest of the country. The sample is simple random probabilistic composed of 224 teachers classified according to the variables Age, Academic Degree and Gender, since the hypothetical was worked on that technological knowledge is related to these factors. In order to find a statistical relationship in the grouping of data, an exploratory factorial was performed by Kaiser-Meyer-Olkin (KMO) and Bartlett's sphericity test with the principal component extraction method and varimax rotation. Only factors with an eigenvalue greater than 1 and a factorial weight per item greater than 0.40 were accepted. Subsequently, non-parametric statistical tests were performed to identify relationships from the crossover variables. The findings show that the age of the teachers is a differentiating factor for the appropriation of digital knowledge.

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