Factor analysis to identify latent constructs across management subjects at a business school

U. Kumar, Manandeep Singh
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Abstract

Factor analysis involves the study of order and structure in multivariate data. It starts with a set of observations obtained from a given sample, analyzing this set of observation with their inter-correlations to determine whether the variations represented can be accounted for adequately by a number of basic categories smaller than that with which the investigation was started. Factor analysis is applied to identify the latent constructs in the subjects being offered at a business school. The significance of this study is to get some insight on the course design of the prevailing academic curriculum.
因子分析以确定商学院管理科目的潜在构念
因子分析涉及对多变量数据的顺序和结构的研究。它从从给定样本中获得的一组观察结果开始,分析这组观察结果及其相互关系,以确定所代表的变化是否可以用一些比调查开始时更小的基本类别来充分解释。因子分析应用于识别潜在构念的科目在商学院提供。本研究的意义在于对现行学术课程的课程设计有所启示。
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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