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Dynamic Causal Structure Analysis of Condition Fluctuation Factors in a Soccer Player [Received November 29, 2004 ; Accepted March 10, 2005] The purpose of this study was to determine dynamic causal structure of condition fluctuation applying single case study design. A male 22 years-old college soccer player volunteered to participate in this study. His condition, training and sleeping were self-monitored for 71 days in the off-season training period using quality control (QC) sheets. Exploratory factor analysis (EFA) was utilized to extract condition fluctuation factors. The lag of condition fluctuation factors was analyzed using auto-correlation coefficients (AC) and partial auto-correlation coefficients (PAC) of condition fluctuation factor scores. The confirmatory factor model, the serial causal model, and dynamic causal model of condition fluctuation were analyzed using structural equation modeling (SEM). The model fitting indicators GFI, AGFI and NFI were utilized. Significant level was set up α = 0.05. It was statistically demonstrated that the condition fluctuation factors of the college soccer player in the off-season training period were constructed from condition, training, and sleeping, and there was dynamic causal structure with serial causal structure between these 3 condition fluctuation factors and lag 1 time delay of condition. Keywords: conditioning, training, sleeping, structural equation modeling, single case study design |