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.

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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
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Develop and validate the event quality Structure scale to evaluate the event quality model

Software System Performance and Reliability
article

Develop and validate the event quality Structure scale to evaluate the event quality model

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Abstract

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.

(3)
Sultan Idris Education University (MY), Guizhou Education University (CN)
Guizhou Education University
Openalex Percentile: Top 70%
Software System Performance and Reliability
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Develop and validate the event quality Structure scale to evaluate the event quality model · (2024) | TGRS Research Map | TGRS