dataset on mental health, academic motivation, and perceived academic performance among Vietnamese students in online learning from a self-determination theory perspective
Description
This dataset presents the survey results on autonomy, competence, relatedness, mental health, academic motivation, and perceived academic performance among Vietnamese university students in Vietnam in the context of online learning. Data were collected on 2763 valid responses were collected via Google Forms from April to June 2026. The questionnaire contained two sections: 38 items measuring six constructs with a five-point Likert scale and demographic items covering gender, academic year, field of study, and average weekly online learning time. The accompanying data and analysis files provide the raw dataset, respondent characteristics, outer loadings, Cronbach’s Alpha, composite reliability, average variance extracted, and the Fornell-Larcker matrix. The dataset can be reused to examine the relationships among basic psychological needs, mental health, academic motivation, and students’ perceptions of academic performance based on Self-Determination Theory (SDT). It can also facilitate comparative research on online learning, digital connectivity, mental health, academic motivation, and perceived academic performance among university students in Vietnam and other higher education settings worldwide.
Files
Steps to reproduce
The dataset can help universities build policy to support school psychology and design online learning models Researchers can use or reuse the dataset to test self-determination theory-based models, involving autonomy, competence, relatedness, mental health, academic motivation, and perceived academic performance. The data is suitable for PLS-SEM model in tertiary education and online learning. The dataset can be used for teaching and training purposes in data analysis, educational measurement, and PLS-SEM. Students and instructors may use both the raw and analyzed data to practice assessing reliability, convergent validity, discriminant validity, and conducting multivariate analyses. The dataset can be used for comparative studies on online learning experiences, digital connectivity, and mental health among university students across different higher education contexts.