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Run MATRIX procedure:
VARIABLES IN SIMPLE MEDIATION MODEL Y ¹¤×÷¼¨Ð§ X ²»±»ÈÏͬ M ½¹ÂÇ
DESCRIPTIVES STATISTICS AND PEARSON CORRELATIONS
Mean SD ¹¤×÷¼¨Ð§ ²»±»ÈÏͬ ½¹ÂÇ ¹¤×÷¼¨_1 .0000 .9590 1.0000 .6780 .5139 ²»±»ÈÏͬ -.0020 .8085 .6780 1.0000 .5330 ½¹ÂÇ£¨ÖÐ .0000 .9063 .5139 .5330 1.0000
SAMPLE SIZE 489
DIRECT And TOTAL EFFECTS
Coeff s.e. t Sig(two) b(YX) .8042 .0395 20.3535 .0000 c b(MX) .5975 .0430 13.9013 .0000 a b(YM.X) .2255 .0404 5.5773 .0000 b b(YX.M) .6695 .0453 14.7731 .0000 c¡¯
×¢£ºb(yx)Ï൱ÓÚc£¬b(my)Ï൱ÓÚa, b(YM.X)Ï൱ÓÚb, b(YX.M)Ï൱ÓÚc¡¯
INDIRECT EFFECT And SIGNIFICANCE USING NORMAL DISTRIBUTION
Value s.e. LL 95 CI UL 95 CI Z Sig(two) Effect .1347 .0261 .0836 .1858 5.1647 .0000 (sobel)
BOOTSTRAP RESULTS For INDIRECT EFFECT
Data Mean s.e. LL 95 CI UL 95 CI LL 99 CI UL 99 CI Effect .1347 .1333 .0295 .0800 .1928 .0582 .2135
NUMBER OF BOOTSTRAP RESAMPLES 1000
FAIRCHILD ET AL. (2009) VARIANCE IN Y ACCOUNTED FOR BY INDIRECT EFFECT: .2316
********************************* NOTES **********************************
------ END MATRIX -----
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