Structural Equation Modeling in Educational Research: A Case-study for PhD Training

Liubov Panchenko, Vladyslav Velychko

Abstract

The article deals with the problem of using structural equation modelling (SEM) methodology in educational research. It allows the researcher to build multidimensional models of the phenomena and processes that are being studied. The SEM methodology is based on many well-known methods such as correlation, regression, factor analysis, variance analysis and covariance analysis. The methodology is mainly based on deductive logic, involves the preliminary construction of a structural model of relationships between variables in order to further check for consistency with the experimental data. The article summarizes the use of various SEM software in the training of doctors of philosophy of the world's leading universities and provides an example of using the SEM methodology in educational research for PhD student training. An important point in preparing specialists for using SEM is to select or obtain the necessary data sets that are representative and valid. During the research the Ukrainian teacher’s self-efficacy model with SEM methodology was checked, and the obtained results were compared with the research data of the worldwide teacher’s survey -- The Teaching and Learning International Survey (TALIS). The lower self-efficacy of Ukrainian teachers, especially in the student engagement block, was showed.

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Paper Citation


in Harvard Style

Panchenko L. and Velychko V. (2020). Structural Equation Modeling in Educational Research: A Case-study for PhD Training. In Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 1: AET, ISBN 978-989-758-558-6, pages 300-307. DOI: 10.5220/0010923900003364


in Bibtex Style

@conference{aet20,
author={Liubov Panchenko and Vladyslav Velychko},
title={Structural Equation Modeling in Educational Research: A Case-study for PhD Training},
booktitle={Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 1: AET,},
year={2020},
pages={300-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010923900003364},
isbn={978-989-758-558-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 1: AET,
TI - Structural Equation Modeling in Educational Research: A Case-study for PhD Training
SN - 978-989-758-558-6
AU - Panchenko L.
AU - Velychko V.
PY - 2020
SP - 300
EP - 307
DO - 10.5220/0010923900003364