ABORDAGENS METODOLOGICAS NO CAMPO DA PESQUISA CIENTIFICA

IF 1.1 4区数学 Q3 STATISTICS & PROBABILITY

Statistical Methods and Applications Pub Date : 2017-03-01 DOI:10.5151/SMA2016-007

Keila Aparecida Marques, Ana Lúcia Schaefer Ferreira de Melo

引用次数: 3

Abstract

The growing demand for new knowledge lead in numerous movements in the field of scientific research, regarding the choice of methodology to be used in the understanding of the phenomena studied. In order to present an understanding of the quantitative approach in scientific research, results found that strengthen the intertwining of the two methodological approaches that guide the universe of scientific research. Yet neither method can be considered better at the expense of another, because the advantages and disadvantages in the use of the methods and also the latent features that differ from the methods and their characteristics are considered. These considerations is the relevance highlighted in this study, quantitative and qualitative approaches have been perceived as complementary among researchers in the scientific research universe.

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科学研究领域的方法论方法

对新知识的不断增长的需求导致了科学研究领域的许多运动，关于选择用于理解所研究现象的方法。为了呈现对科学研究中定量方法的理解，结果发现，加强了指导科学研究领域的两种方法方法的交织。然而，任何一种方法都不能以牺牲另一种方法为代价而被认为是更好的，因为使用方法的优点和缺点以及与方法不同的潜在特征及其特征都被考虑在内。这些考虑是本研究中突出的相关性，定量和定性方法在科学研究领域的研究人员中被认为是互补的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Statistical Methods and Applications 数学-统计学与概率论

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Statistical Methods and Applications (SMA), the official Journal of the Italian Statistical Society, is an international journal aiming at promoting the development of statistical methodology and its applications in the biological, demographic, economic, health, physical, social and other scientific domains. SMA includes two sections: The first is devoted to statistical methodology and publishes original contributions in all fields of Statistics and, occasionally, critical reviews and discussions on recent developments in statistical theory and methods. The second section of the journal publishes papers devoted to original and/or innovative applications of recent statistical methodology and complex approaches of statistical data analysis. The journal is published four times a year. SMA provides a forum for the presentation of Italian and international research on methods that are of central interest to modern statistics. Discussions on methodological foundations and methods that have broad applications will be welcome and preferred.