Bias Corrected and Accelerated Confidence Intervals
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Dependent, Independent, and Proposed Mediator Variables:
DV = performance
IV = io
MEDS = exploitation
exploration
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Sample size
100
2 x: r8 ]; H5 A& [/ I$ E: ~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
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Direct 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
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Indirect 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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4 C/ `+ [7 O* w% K5 n 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
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Bias Corrected and Accelerated Confidence Intervals
Lower Upper
TOTAL .1078 .3770
exploitation .0186 .2284
exploration .0372 .2860
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Level of Confidence for Confidence Intervals:
95
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Number of Bootstrap Resamples:
1000
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" i) i! g a& U# ?; J' D 我的模型在附近的图片中。
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请多指教
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1 b7 o4 Y! _" r- q, x1 y谢谢！
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