Develop and validate the event quality Structure scale to evaluate the event quality model
This study aims to develop and test a comprehensive set of indicators to assess the event quality in the context of sports tourism. Using the three-round Delphi method, participants evaluated an initial list of event quality model (EQM) indicators based on their experience. Through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) tests, multivariate normality, multicollinearity, construct reliability (Cronbach Alpha), convergent validity (e.g., principal component analysis), discriminant validity (e.g., Fornell-Larcker criterion) and construct validity were evaluated. Among the 32 candidate indicators, 20 were retained without multicollinearity problems, with strong internal consistency (0.963) and convergence validity (AVE > 0.5, CR > 0.7, SRW > 0.7). Discriminant validity (AVE > R2) and structural validity (P< 0.00, RMSEA = 0.035, CFI = 0.986, χ2/df =1.373). The results show that the newly developed scale of event quality model (EQM) meets the requirements of relevant indicators and can be applied to practical research.
Institutions
- Sultan Idris Education University (MY)
- Guizhou Education University (CN)
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.53797/fphj.v3i2.5.2024
- Primary Topic
- Software System Performance and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guizhou Education University