使用协方差结构分析检查R-SPQ-2F的基础结构/使用协方差结构分析检查R-SPQ-2F的基础结构

M. López-Aguado, Lourdes Gutiérrez-Provecho
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引用次数: 12

摘要

R-SPQ-2F是许多研究中用于测量学习方法的仪器。然而,其内部结构仍然是一个有争议的问题。重要的是要确认它的底层结构,以便找出正在用它测量的变量。本文采用问卷调查的方法,对León大学教育学院的279名学生进行了调查,并使用协方差结构分析,即验证性因子分析(Confirmatory Factor analysis, CFA),对文献中发现的不同模型进行了比较。我们得出结论,最适合数据的结构是双因素结构,与其他研究结果一致。未来的研究在解释他们的发现时应该考虑到这两个主要因素。在原有20项的基础上,提出了相应的改进方案。
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Checking the underlying structure of R-SPQ-2F using covariance structure analysis / Comprobación de la estructura subyacente del R-SPQ-2F mediante análisis de estructura de covarianza
Abstract The R-SPQ-2F is an instrument used in many studies to measure learning approaches. However, its internal structure is still a matter of debate. It is important to confirm its underlying structure in order to find out which variables are being measured with it. A survey method is used with 279 students of the Faculty of Education at the University of León, and alternative models found in the literature are compared using covariance structure analysis, specifically, Confirmatory Factor Analysis (CFA). We conclude that the structure that best fits the data is a two-factor structure in line with the results obtained in other studies. Future research should take these two primary factors into account when interpreting their findings. Solutions are also offered for improving the scale with the original 20 items.
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