Purpose The purpose of this study is conducted to analyze the objectivity of the ski technical championships hosted by Korea Ski Instructor Association (KSIA) and to identify the error sources that affect the score of the competition. Methods To this end, we used the data from the 25th(2009) to 33rd(2017) ski technical championships held by the Korea Ski Instructor Association (KSIA). The data provided by Win Excel 2010 was used to sort out the missing data, such as abandonment, according to the data processing method. The collected data were analyzed by using SPSS 22.0 to calculate the mean and standard deviation of each season, event, and judges, and the Intraclass Correlation Coefficient (ICC). In addition, by using the single facet crossed design(p*j) of the generalizability theory’s G study, the variance component estimates for the participant(p) and the judges (j) are calculated, and the influence (%). Results As a result of the research, it was confirmed that the results of all the seasons and events from the 25th to the 33th events were very consistent, with the objective of .845~.986 higher than the recognition level of .80. In addition, the results show that the relative ratio of the judges to the error of the judging score is very low as a result of the error analysis through the dispersion component estimates. Conclusion In summary, the results of the KSIA evaluation are highly evaluated objectivity and have very low impact on the judges' errors.
