The application of the latent growth curve model (LGM) to the studies on sport management in Taiwan is still in the initial stage. This research aimed to adopt this model to investigate the salary growth of Chinese Professional Baseball League players from the 19th to the 21st year of its establishment. (1)The research result showed the TLI (NNFI) as 0.96 and the IFI as 0 .98. The CFI value is 0.98, indicating that the model is a good fit for this research. The hypothesis that the salary growth of the players is in a linear model was accepted accordingly. (2)One variable for the model is the average player salary of the 19th year of the league, which was 124.5 thousand NT dollars. The trajectory revealed that the average salary growth from the 19th to 21st year was 9.8 thousand NT dollars. The value of the starting point of the curve, i.e. the average player's salary of the 19th year, was 124.51, while the average value of the trajectory, which showed the salary growth, was .983. The t-value of these two variables was 18.09 and 3.34, respectively, both of which achieved the significant level (p<.05). The Coefficient of Variation of the salary starting point and growth were 31.98 and 4.84, respectively. The t-values of these two variables were 5.25 and 2.35, respectively, both of which achieved the significant level (p<.05). The findings showed that a significant difference existed both in the salaries of individual players in the 19th year and in the salary growth rate among them.
The application of the latent growth curve model (LGM) to the studies on sport management in Taiwan is still in the initial stage. This research aimed to adopt this model to investigate the salary growth of Chinese Professional Baseball League players from the 19th to the 21st year of its establishment. (1)The research result showed the TLI (NNFI) as 0.96 and the IFI as 0 .98. The CFI value is 0.98, indicating that the model is a good fit for this research. The hypothesis that the salary growth of the players is in a linear model was accepted accordingly. (2)One variable for the model is the average player salary of the 19th year of the league, which was 124.5 thousand NT dollars. The trajectory revealed that the average salary growth from the 19th to 21st year was 9.8 thousand NT dollars. The value of the starting point of the curve, i.e. the average player's salary of the 19th year, was 124.51, while the average value of the trajectory, which showed the salary growth, was .983. The t-value of these two variables was 18.09 and 3.34, respectively, both of which achieved the significant level (p<.05). The Coefficient of Variation of the salary starting point and growth were 31.98 and 4.84, respectively. The t-values of these two variables were 5.25 and 2.35, respectively, both of which achieved the significant level (p<.05). The findings showed that a significant difference existed both in the salaries of individual players in the 19th year and in the salary growth rate among them.
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