Reference guide for non-expert researchers in multivariate statistics
New researchers often face difficulties in the statistical analysis of data for verification of the working hypotheses, particularly in the selection of an appropriate statistical technique, its application and interpretation. It is often argued that the foregoing of a negative attitude toward the q...
| Autor Principal: | Avendaño Prieto, Bertha Lucía; Universidad Católica de Colombia |
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| Otros Autores: | Avendaño Prieto, Gerardo; Universidad EAN, Cruz, William; National Chengchi University, Universidad de Taipei, República Popular de China, Cárdenas-Avendaño, Alejandro; Fundación Universitaria Konrad Lorenz, Colombia |
| Formato: | info:eu-repo/semantics/article |
| Idioma: | spa |
| Publicado: |
Universidad Santo Tomás, Colombia
2014
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| Materias: | |
| Acceso en línea: |
http://revistas.usta.edu.co/index.php/diversitas/article/view/1559 |
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| Sumario: |
New researchers often face difficulties in the statistical analysis of data for verification of the working hypotheses, particularly in the selection of an appropriate statistical technique, its application and interpretation. It is often argued that the foregoing of a negative attitude toward the quantitative analysis related to perceived difficulties in statistics classes and research methodology in education. The purpose of this article is to provide a reference guide for non-expert researchers in the use of some statistical techniques with broad applications in the generation of knowledge. Each multivariate technique is defined and the conditions under which it is possible its application are enumerated, presenting the minimum conditions to be met. In addition, three examples are presented showing inconsistencies resulting from a wrong use of statistics and assumptions in analyzing the data. |
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