Lo cuantitativo y cualitativo desde un tratamiento estadístico
The objective of this writing is to rescue the techniques of non-parametric statistics. Nonparametric statistics is the most appropriate for low-category scales: nominal and ordinal (qualitative research). It is important because it is very useful for working with small samples of categorical or ord...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://dialnet.unirioja.es/servlet/oaiart?codigo=8432202 |
| Source: | Revista Iberoamericana de las Ciencias Sociales y Humanísticas: RICSH, ISSN 2395-7972, Vol. 11, Nº. 21, 2022, pags. 18-49 |
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| Summary: |
The objective of this writing is to rescue the techniques of non-parametric statistics. Nonparametric statistics is the most appropriate for low-category scales: nominal and ordinal (qualitative research). It is important because it is very useful for working with small samples of categorical or ordinal data, regardless of the distribution of the samples to be contrasted. Among the results of this work, a scientific research matrix is shown that reveals 10 types of research design that result from combining four dichotomous criteria as an obligatory raw material for doing research. And it is concluded that when qualitative variables and nominal or ordinal scales are used, non-parametric statistical techniques must be used, considering that qualitative variables are categorical or classificatory, since they denote quality and prevail in the field of social sciences and are observational criteria |
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