TY - JOUR T1 - An Empirical Study of the Robustness of Analysis of Variance Procedures in the Presence of Commonly Encountered Data Problems JF - American Journal of Enology and Viticulture JO - Am J Enol Vitic. SP - 131 LP - 134 DO - 10.5344/ajev.1982.33.3.131 VL - 33 IS - 3 AU - Shu Geng AU - Paul Schneeman AU - Wen-Jan Wang Y1 - 1982/01/01 UR - http://www.ajevonline.org/content/33/3/131.abstract N2 - This paper presents the results of Monte Carlo (computer generated) experiments in which the usual assumptions of variance homogeneity and normality are methodically violated, and the efficiency of various common remedial measures (rank transformation, weighting, and arcsine transformation) are compared using the ordinary analysis of variance procedure. In general, the ordinary analysis of variance procedure performs quite well, but the rank transformation procedure can actually produce misleading results if performed in the presence of unequally skewed populations. Therefore, routine tests of these assumptions before performing an analysis of variance are not necessary. ER -