Research Article
RETRACTED: Realization of Intelligent Scoring System of Taekwondo Protective Gear under the Application of Neural Network BP Model
| Items | Path | β | SE | CR | |
| 1-1 | Superiority professed ⟶ Adaptability in its function | 0.382 | 0.078 | 3.483 | 0.001 | 1-2 | Superiority professed ⟶ Adaptability in its function | 0.546 | 0.090 | 5.091 | 0.001 | 2-1 | Allure visually ⟶ Adaptability in its function | 0.160 | 0.079 | 1.800 | 0.075 | 2-2 | Allure visually ⟶ Adaptability in its function | −0.012 | 0.078 | −0.133 | 0.899 | 3-1 | Holdup capability ⟶ Adaptability in its function | 0.236 | 0.064 | 2.868 | 0.006 | 3-2 | Holdup capability ⟶ Adaptability in its function | −0.220 | 0.066 | −2.939 | 0.005 | 4-1 | Operation ⟶ Adaptability in its function | 0.118 | 0.119 | 1.033 | 0.305 | 4-2 | Operation ⟶ Adaptability in its function | 0.109 | 0.118 | 1.095 | 0.276 | 5-1 | Adaptability in its function ⟶ Adaptability in its function | 0.420 | 0.110 | 4.363 | 0.001 | 5-2 | Adaptability in its function ⟶ Acquiring aim | 0.363 | 0.118 | 4.033 | 0.001 | 6 | Worthiness professed ⟶ Acquiring aim | 0.527 | 0.106 | 5.787 | 0.001 |
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β = standard coefficient, SE = standard blunder; C.R = basic proportion, x2 = chi square, DF = degrees of opportunity, Q = x2/DF, CFI = comparative fit file, IFI = incremental fit list, TLI = tucker–Lewis file, RESEA = root cruel square blunder of estimation.
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