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74 .773 474$ $ 474$ $7, 474 474 474Educational Lev el(years)Employment Cate goryCurrent SalaryBeginning Salar yMonths since Hi rePrevious Experi ence(months)MeanStd.Deviation NCorrelations1 .514 ** .661 ** .633 ** .047 **. .000 .000 .000 .303 .000474 474 474 474 474 474.514 ** 1 .780 ** .755 ** .005 .063.000 . .000 .000 .908 .173474 474 474 474 474 474.661 ** .780 ** 1 .880 ** .084 *.000 .000 . .000 .067 .034474 474 474 474 474 474.633 ** .755 ** .880 ** 1 .045.000 .000 .000 . .668 .327474 474 474 474 474 474.047 .005 .084 1 .003.303 .908 .067 .668 . .948474 474 474 474 474 474 ** .063 * .045 .003 1.000 .173 .034 .327 .948 .474 474 474 474 474 474Pearson Corre lationSig. (2taile d)NPearson Corre lationSig. (2taile d)NPearson Corre lationSig. (2taile d)NPearson Corre lationSig. (2taile d)NPearson Corre lationSig. (2taile d)NPearson Corre lationSig. (2taile d)NEducational L evel(years)Employment Ca tegoryCurrent Salar yBeginning Sal aryMonths since HirePrevious Expe rience(months)EducationalLevel (years)EmploymentCategoryCurrentSalaryBeginningSalaryMonthssince HirePreviousExperience(months)Correlation i s significant at the level (2tailed).**. Correlation i s significant at the level (2tailed).*. C o r r e l a t i o n s1 . 0 0 0 . 4 1 5 ** . 5 6 8 ** . 5 5 4 **. . 0 0 0 . 0 0 0 . 0 0 0474 474 474 474. 4 1 5 ** 1 . 0 0 0 . 5 1 9 ** . 5 3 0 **. 0 0 0 . . 0 0 0 . 0 0 0474 474 474 474. 5 6 8 ** . 5 1 9 ** 1 . 0 0 0 . 6 5 6 **. 0 0 0 . 0 0 0 . . 0 0 0474 474 474 474. 5 5 4 ** . 5 3 0 ** . 6 5 6 ** 1 . 0 0 0. 0 0 0 . 0 0 0 . 0 0 0 .474 474 474 474C o r r e la t io n C o e f f icie n tS ig . (2 t a ile d )NC o r r e la t io n C o e f f icie n tS ig . (2 t a ile d )NC o r r e la t io n C o e f f icie n tS ig . (2 t a ile d )NC o r r e la t io n C o e f f icie n tS ig . (2 t a ile d )NE d u ca t io n a l L e v e l (y e a r s )E m p lo y m e n t C a t e g o r yB e g in n in g S a la r yC u r r e n t S a la r yK e n d a ll39。 s t a u _ bE d u ca t io n a lL e v e l (y e a r s )E m p lo y m e n tC a t e g o r yB e g in n in gS a la r y C u r r e n t S a la r yC o r r e la t io n is s ig n if ica n t a t t h e . 0 1 le v e l (2 t a ile d ).* * . ( 2) Analyze —— Correlations—— Partial 用上例: Controlling for.. JOBCAT PREVEXP JOBTIME SALARY EDUC SALARY .4399 ( 0) ( 469) P= . P= .000 EDUC .4399 ( 469) ( 0) P= .000 P= . (Coefficient / (.) / 2tailed Significance) . is printed if a coefficient cannot be puted