Un análisis comparativo entre los modelos estadísticos y los modelos dinámicos aplicados a las ciencias sociales como factor de aprendizaje
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How to Cite

Arango Serna, M. D., & Herraiz Gil, T. (2000). Un análisis comparativo entre los modelos estadísticos y los modelos dinámicos aplicados a las ciencias sociales como factor de aprendizaje. Psicothema, 12(Suplemento), 42–46. Retrieved from https://reunido.uniovi.es/index.php/PST/article/view/7638

Abstract

A comparative analysis between statistical and dynamic models applied to social sciences. The current tendencies in the use of computerised tools for the interpretation of the information hurtled by social sciences studies have different focuses. Traditionnally, the use of conventional statistical programs such as the SPSS, Statgraphics, Dyane, etc. have provided the investigators with an effective support to analyse and interpret the data and the results of these studies. This work tries to show a complementary line: the systemic analysis applied to social problems. It has been used since Von Bertalanfy initial studies to the moment. It enable us to analyse and interpret the same information in a different way through the use of several tools like dynamic systems. In other way, most of the contributions of the new technologies have changed the investigation procedures, because they have made that the technological innovation be a pushing factor in the transformation process of the economy, social sciences and the information society. The Information Technologies have an important role within the background infrastructures of the society. This work illustrates the comparison between two models of analysis. They have been applied to an specific situation: the advance of the retirement age in the Valencian Community. SPSS software have been used as the software package for the statistic model and Powersim for the dynamic systems work. It has been tried to show the advantages and disadvantages of both of them, with a complementary point of view to guarantee the confidence of the results and their interpretation. Besides, the investigators may manage their process of learning in a more efficient way.
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