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https://doi.org/10.35542/osf.i...
Article . 2020 . Peer-reviewed
License: CC BY SA
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Analysis Approach: Item Statistics and Factor Analysis

Authors: Joanne Minh Triet Lieu; Nguyen Yen Chi;

Analysis Approach: Item Statistics and Factor Analysis

Abstract

Using dataset from Dataset of Vietnamese students' learning habits during COVID-19 by Trung et al. (2020), this paper answer two research questions. First, should any items be dropped to improve alpha co-efficient? Second, do the items measure one of the three concepts (Necessity for self-learning during COVID-19, Effectiveness for self-learning activities, and Acquired knowledge during COVID-19 teaching online session) the authors of the study intended? The result shows that nothing would be changed to improve alpha co-efficient, yet some items should be modified or omitted for better factor analysis results.

Keywords

Education, Educational Assessment, Evaluation, and Research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid