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Application of Exploratory Factor Analysis in the Construction of a Self-Perception Model of Informational Competences in Higher Education
Mathematics ( IF 2.4 ) Pub Date : 2021-09-20 , DOI: 10.3390/math9182332
Belén Quintero Ordóñez , Ignacio González López , Eloísa Reche Urbano , Juan Antonio Fuentes Esparrell

The progress experienced by society resulting from the ready availability of information through the use of technology highlights the need to develop specific learning related to informational competences (IC) in educational settings where future professionals are trained to educate others, specifically in university degrees in social sciences. This study seeks to ascertain the opinions of students enrolled in these degrees at the Universidad de Córdoba (Spain) with regard to the knowledge they consider that they possess about IC for their future professional development, through the practical application of exploratory factor analysis. The methodology designed is based on a descriptive, non-experimental, correlational survey. The results show that factor analysis is a fundamental tool for obtaining results in terms of students’ perception of their knowledge of IC because its psychometric value has confirmed construct validity and enabled us to break down the items that made up the four initial dimensions of IC into eight factors to improve the understanding and explanation of these IC.

中文翻译:

探索性因素分析在高等教育信息能力自我认知模型构建中的应用

通过使用技术随时提供信息所带来的社会进步凸显了在教育环境中发展与信息能力(IC)相关的特定学习的必要性,未来的专业人员将接受培训以教育他人,特别是在社会科学大学学位. 本研究旨在通过探索性因素分析的实际应用,确定在科尔多瓦大学(西班牙)就读这些学位的学生对他们认为自己拥有的有关 IC 知识以促进其未来专业发展的看法。所设计的方法基于描述性、非实验性、相关性调查。
更新日期:2021-09-20
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