变量不是披萨:奇迹是面包的乘法,而不是子假设的乘法

Francis Díaz Flores, Fernando Pino Apablaza, Carmen Jackeline Montenegro Vigo, Elías Jesús Mejía Mejía
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摘要

本文解释了为什么在解释性研究或非因果相关性研究中,对两个变量进行研究时,制定子假设是无关紧要的,目的是绝大多数秘鲁大学的研究生都这样做,作为一般做法,在他们的论文中,其起源是未知的。这些研究人员将自变量划分为它们的维度,并从每个维度中制定子假设。一些研究者通过将自变量和因变量分解到各自的维度来制定子假设。其他人则将因变量分解成维度,以形成子假设。当在多变量或因子调查中,研究多个自变量时,通常会提出子假设,可以从每个自变量中制定子假设。在这种情况下,子假设的制定是在假设检验策略是方差分析时完成的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Las variables no son pizzas: el milagro es la multiplicación de los panes, no la multiplicación de las sub hipótesis
This article explains why it is irrelevant to formulate sub-hypotheses, when in an explanatory research or non-causal correlation research, two variables are worked on, with the aim that thevast majority of graduate students of the universities of Peru are doing so, as a general practice, in their thesis, and whose origin is unknown. These researchers divide the independent variables into their dimensions and, from each of them, formulate the sub-hypotheses. Some researchers formulate sub hypotheses by decomposing the independent variable and dependent variable into their respective dimensions. Others break down the dependent variable into its dimensions to formulate sub-hypotheses. Sub-hypotheses are often raised when in multivariate or factorial  investigations, more than one independent variable is worked on, it is possible to formulate sub-hypotheses from each of the independent variables. In this case, the formulation of sub-hypotheses is done when the hypothesis test strategy is the Variance Analysis.
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