Bootstrapping on Tourist Satisfactions: Examine the Mediating Effects between Determinant Factors and Tourist Intention to Revisit Terengganu’s Edutourism Destinations
Bibliographic record
Abstract
This study examines the mediating effect of tourist satisfaction on the relationship between determinant factors that influence tourist satisfaction and lead intention to revisit in the context of Terengganu's focus on edu-tourism.The study uses a sample of 384 tourists from seven edu-tourism destinations chosen through stratified random sampling.The data are analyzed using Statistical Package for the Social Sciences (SPSS) and Analysis of Moment Structures (AMOS) to conduct Structural Equation Modelling (SEM).The beta estimate analysis reveals that all determinant factors have a positive relationship with tourist intention to revisit.Tourist satisfaction has mediation effects between educational institutions and tourism organizations.The study provides an innovative research approach by examining the mediating roles of tourist satisfaction between tourism operators, event management, local communities, and investment towards tourist intention to revisit.The study has theoretical and practical contributions to tourism organizations, tourism operators, event managers, academicians, and government sectors.
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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 | 0.003 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".