GV366 : Presenting a sports tourism experience model with a mexta-analytic approach
Thesis > Central Library of Shahrood University > Physical Education > PhD > 2025
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Abstarct: The present study aimed to develop a model of sports tourism experience using a mexta-analysis approach. This research was conducted quantitatively through mexta-analysis. The statistical population consisted of all theses and articles published on tourism experience between 2002 and 2022 in sixteen databaxses and two search engines. Ultimately, 32 studies were selected via purposive sampling. The data collection tool was a mexta-analysis checklist developed by the researcher. Data were analyzed using Comprehensive mexta-Analysis (CMA) software, and heterogeneity was confirmed through Q-value, I-squared, and Tau-squared tests. The results indicated that the effect size of experience on satisfaction, behavioral intentions, revisit intention, attachment, and loyalty was 0.50, 0.36, 0.44, 0.64, and 0.23, respectively. Furthermore, the effect size of service quality on experience was 0.18, and engegment on experience was 0.14. baxsed on Cohen's interpretive frxamework, these effect sizes are considered medium, and all relationships were significant (P≤0.05). A funnel plot identified studies with the least deviation from the random effects model as more valuable. The fail-safe N test also confirmed the robustness of the findings. This mexta-analysis conclusively demonstrates that the sports tourism experience is a central construct with the strongest effect on key outcome variables, particularly attachment and satisfaction. However, the relatively lower effect sizes of antecedents like service quality and passion suggest a research gap, indicating the potential influence of more complex mediating mechanisms in forming the experience.
Keywords:
#Attachment #Satisfaction #mexta-analysis #Intention to return #Quality of experience Keeping place: Central Library of Shahrood University
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