Factors affecting loyalty to student support services: a study of dormitory service quality at a university in Vietnam
Bibliographic record
Abstract
The research objective is to determine the relationship between service quality and student satisfaction and loyalty to the Dormitory of Nam Can Tho University. The research uses a combination of qualitative and quantitative research methods. The research model is built to include service quality (reliability, responsiveness, tangibles, assurance, empathy), perceived price, and satisfaction, all affecting student loyalty. Using a non-probability convenience sampling method, the survey was conducted through Google Forms to collect data on students staying at the Dormitory of Nam Can Tho University. The results of the survey data analysis with 220 students were carried out through the steps of assessing the scale's reliability using Cronbach's Alpha, evaluating the Measurement Model and the Structural Equation Model. The analysis results determined that all three independent factors with decreasing impact levels affect student loyalty. Service quality and perceived price affect satisfaction. At the same time, satisfaction and service quality impact student loyalty. Based on the research, solutions are proposed to improve student loyalty.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".