Bias Corrected and Accelerated Confidence Intervals
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DV = performance
IV = io
MEDS = exploitation
exploration
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Sample size
100
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IV to Mediators (a paths)
Coeff se t p
exploitation .5775 .1150 5.0223 .0000
exploration .5342 .1097 4.8704 .0000
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Direct Effects of Mediators on DV (b paths)
Coeff se t p
exploitation .1985 .0728 2.7281 .0076
exploration .2197 .0763 2.8805 .0049
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Total Effect of IV on DV (c path)
Coeff se t p
io .6144 .0814 7.5462 .0000
7 Z/ |3 q" d- E% Z: x( @. JDirect Effect of IV on DV (c-prime path)
Coeff se t p
io .3824 .0821 4.6561 .0000
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Model Summary for DV Model
R-sq Adj R-sq F df1 df2 p
.5262 .5114 35.5415 3.0000 96.0000 .0000
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NORMAL THEORY TESTS FOR INDIRECT EFFECTS
% G" a" |- [1 X$ A9 q& sIndirect Effects of IV on DV through Proposed Mediators (ab paths)
Effect se Z p
TOTAL .2320 .0572 4.0554 .0001
exploitation .1146 .0472 2.4287 .0152
exploration .1174 .0467 2.5110 .0120
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BOOTSTRAP RESULTS FOR INDIRECT EFFECTS
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Indirect Effects of IV on DV through Proposed Mediators (ab paths)
Data boot Bias SE
TOTAL .2320 .2375 .0055 .0696
exploitation .1146 .1213 .0067 .0554
exploration .1174 .1162 -.0012 .0578
" B6 I6 g" E- d- k1 X" P5 ?$ e. vBias Corrected and Accelerated Confidence Intervals
Lower Upper
TOTAL .1078 .3770
exploitation .0186 .2284
exploration .0372 .2860
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' l+ V7 X6 S& C" `* Y( XLevel of Confidence for Confidence Intervals:
95
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Number of Bootstrap Resamples:
1000
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n r$ |3 U+ w: ~) g# e 我的模型在附近的图片中。
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请多指教
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* b- P0 C. C# _! D+ c8 F谢谢!
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