Holistic method relies heavily on performance assessment by multiple judges in dance However, the assessment itself can be influenced by the judge’s seventy and inconsistency in tin dance performance measures. The trimmed mean has been used in dance performance as a summing method of judges’ assessment results. However, the severity and leniency in the assessment of the remaining judges who are not involved in summing process may not be accounted for by the trimmed mean. The purpose of the study was to examine the fairness of the trimmed mean method as a summing method of judges’ assessment results, using the many-faceted Rasch rating scale model on the data from the modem dance contest. The data consisted of five judges assessment of 40 senior high school’s modem dances The judges assigned scores for the each dancer range from 50 to 100. The 2-faceted Rasch measurement model was used to calibrate the judges score. Judges’ severity and inconsistency were examined by Infit and Outfit statistics and reliability of separation index. The dancers varied in performance from -0.98 to 0.28 logits with standard errors of 0.29 and 0.09. The fit statistics and measures of dancer performance indicate most dancers’ assessments fit the model and that some of the dancers were more able than others (x2(39) = 240.6, p ＜ .001). The judges varied in severity from -0.14 to 0.09 logits with standard errors of 0.04 and 0.03 (x2(4) = 25.6, p ＜ .001). The fit statistics indicate that each judge exhibited a high degree of internal consistency (Outfit statistics: 0.8 - 1.2). There was a tendency toward over consistency from Judge C as denoted by 0.5 Infit statistics. It was revealed that emulation between the sunning score of the judge’ assessment by the tinned mean method and logits score obtained from Rasch rating scale model was 0.895. However, the rank obtained from these two methods were consistent with 8 out of 40 dancers. The many-faceted Rasch measurement model demonstrated a psychometrically appropriate technique for informing the fairness of the judges.