英文摘要 |
This study developed the motivations, past experience, events image, destination image, satisfaction, intentions, and re-participate scales for road race events in Taiwan as well as examined the discriminatory capability, reliability and validity of those scales. The study’s methodology involved subjects who had participated in the road race events of Second Dapeng Bay Hero Star Marathon and 2015 State Road Pingtung International Charitable Cycling Marathon Volunteers in Taiwan and included the collection of 197 valid questionnaires. The scales were modified by referencing literature about road race and leisure participation behavior. The statistical analyses of the study data included item analysis, exploratory factor analysis, and reliability testing. Firstly, the results revealed that the critical ratio values(5.20-18.33) and total correlation coefficients(r=.46-.95)for each item had statistical significance, showing that the scales had discriminatory capability. Secondly, according to the results, the exploratory factor analyses revealed that the motivations scales, past experience scales, events image scales, destination image scales, satisfaction scales, intentions scales, and re-participate scales each had a total cumulative explained variance of 74.60-89.01%, and the analyses revealed that all research instruments exhibited validity. Thirdly, the reliability analyses showed that each scale’s Cronbach's alpha coefficients were above .80, which suggests that the level of internal consistency was acceptable for each scale. In conclusion, based on the results, the scales demonstrated sound discriminatory capability, validity, and reliability. Moreover, the scales are well suited to the measurement of participant opinion regarding the motivations, past experience, events image, destination image, satisfaction, intentions, and re-participate for road race events in Taiwan. In order to ensure stability and predictive power, further confirmatory factor analysis and multi-group model analysis can be conducted in future, and meta-analysis comparison with results from similar domestic and international studies can also be done to construct measurement tools with more reliability and validity. |