"Yvette" <[EMAIL PROTECTED]> wrote in message [EMAIL PROTECTED]">news:[EMAIL PROTECTED]... > Hello all, > > I conducted a pearson (upper diagonal)/spearman (lower diagonal) > correlation test in SAS. However, the results differ significantly > between the two tests. Can anyone offer any suggestions as to why > these results would differ so much. > > RESULTS OF CORRELATIONS: > > Cash Earn FR MR AR NS <S > Cash .9968(<.0001) -.2374(.0016) -.0074(.9216) -.9722(<.0001) .0453(.5679) -.0579(.4650) > Earn .4588(<.0001) -.2444(.0011) -.0039(.9585) -.9796(<.0001) .0429(.5889) -.0670(.3983) > FR -.0609(.4231) -.0334(.6606) .2313(.0019) .3997(<.0001) -.1177(.1356) -.0415(.6000) > MR -.1018(.1798) .0178(.8147) .1330(.0767) .0461(.5423) -.0416(.5932) -.1235(.1118) > AR -.0225(.7672) -.0081(.9143) .9643(<.0001) .0319(.6726) .0637(.4207) .0640(.4180) > NS .1663(.0349) .0840(.2892) -.1386(.0785) -.0167(.8301) -.1425(.0704) .1263(.1016) > <S -.0482(.5429) -.0399(.6145) -.0391(.6211) -.1888(.0145) .0040(.9597) .0810(.2949) > > > Thanks
Keep in mind that Pearson and Spearman test two different hypotheses: Person tests a linear relationship between the variables and Spearman tests a monotonic relationship. Since Spearman uses ranks it is less susceptible to outliers and "influential" values. For those variable pairs where there is a an apparent big difference, run some regression diagnostics on both the original values and ranks. This should give you a better understanding of the differences. -- Good luck, Jerry Harder remove spamnein from address to reply . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
