Management Multivariate Analysis Methods for Variables Measurement in Scientific Papers

Y. Yulianto, Namira Robihaningrum, Bella Dhea Elinda
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引用次数: 6

Abstract

The management of writing a scientific papers we already know has important chapters in the writing. And have a way of choosing in a variety of methods. There are problems in this study, namely the absence of the use of research methods in scientific-rich management. Then one of them is needed by multivariate data analysis management to become one of the methods in writing scientific papers. Multivariate data is data collected from two or more observations by measuring these observations with several characteristics. There are 2 (two) methods in multivariate data, namely dependency and interdependence methods. Dependency analysis functions to explain or predict dependent variables by using two or more independent variables. Focused on the dependency method there are 9 (nine) classifications. It is expected that the multivariate data analysis management can help writers to use scientific research methods well and be able to analyze the influence of several variables on other variables at the same time
管理科学论文中变量测量的多变量分析方法
我们已经知道,科学论文的写作管理在写作中有重要的章节。并在多种方法中有选择的方式。本研究还存在一些问题,即在富有科学性的管理中缺乏研究方法的运用。多变量数据分析管理需要其中一种方法,成为科技论文写作的方法之一。多变量数据是通过测量具有几个特征的观测值而从两个或多个观测值中收集的数据。多变量数据有两种方法,即依赖方法和相互依赖方法。依赖分析的功能是通过使用两个或多个自变量来解释或预测因变量。着重于依赖性方法有9(九)种分类。期望多元数据分析管理能够帮助作者更好地运用科学研究方法,能够同时分析几个变量对其他变量的影响
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