Research was conducted to provide educational researchers with a choice of pairwise multiple comparison procedures (P-MCPs) to use with single group repeated measures designs. The following were studied through two Monte Carlo (MC) simulations: (1) The T procedure of J. W. Tukey (1953); (2) a modification of Tukey's T (G. Keppel, 1973); (3) the Dunn-Bonferroni procedure (DB); (4) the sequentially rejective Bonferroni procedure (J. P. Shaffer, 1986) (SB); (5) Hayter's modification of Fisher's Least Significant Difference Test (A. J. Hayter, 1986) (FH); (6) a modified range procedure combining others (SRW); (7) a multiple range procedure based on Ryan-Welsch critical values (MRW) (T. A. Ryan and R. E. Welsch); (8) E. Peritz's (1970) procedure (P); and (9) Welsch's step-up procedure (W). The first MC study was exploratory and was based on variance-covariance matrices that were created so as to conform to different sphericity values. Power in this study was examined for a fixed set of mean differences. The second MC study, based on the results of the first, used variance-covariance matrices found in 100 real repeated measures data sets. Based on study results, the stepwise tests SB, FH, SRW, MRW, and P and the T and W are not recommended, but the DB procedure is recommended for use with single group repeated measures data. (Contains 5 tables, 10 figures, and 34 references.) (SLD)