| Issue |
E3S Web Conf.
Volume 400, 2023
International Conference on Sciences, Mathematics, and Education (ICoSMEd 2022)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 7 | |
| Section | Theory and Application in Physics | |
| DOI | https://doi.org/10.1051/e3sconf/202340001007 | |
| Published online | 03 July 2023 | |
Construction Validity Testing on Blended Learning Implementation Evaluation Instruments
1 Department of Geography Education, Faculty of Mathematics and Natural Sciences, Universitas Negeri Makassar
2 Department of Biology Education, Faculty of Teacher Training and Education, Universitas Patompo
3 Department of Primary Teacher Education, Faculty of Teacher Training and Education, Universitas Megarezky
* Corresponding author: m.yusuf@unm.ac.id
This study aims to determine the construct validity of the instrument used in the application of Blended Learning. Respondents were randomly selected 60 students from the Department of Geography, Faculty of Mathematics and Natural Sciences, Makassar State University, 60 students from the Department of Biology Education, Faculty of Teacher Training and Education, Patompo University, and 60 students from the Department of Primary Teacher Education, Faculty of Teacher Training and Education, Megarezky University. Construct validity was tested by Confirmatory Factor Analysis (CFA) in Structural Equation Modeling (SEM) through the AMOS 22.0 application. The analysis findings reveal that the indicators employed in developing the Instrument for Blended Learning Model Application encompass the constructs of Orientation, Organization, Investigation, Presentation, Analysis, and Evaluation. These constructs meet the criteria of Construct Reliability, Variance Extracted, and Discriminant Validity. Consequently, the instrument proves suitable for implementation in research examining the application of the Blended Learning Model.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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