Research Article
[Retracted] Effects of Age-Appropriate Mobile APP Use Behavior on Subjective Well-Being of Young Elderly
Table 8
Model path analysis and hypothesis result testing.
| Research hypotheses | Suppose the path | Path coefficient | T value | | Identification results |
| H1 | Usage behavior ⟶ subjective well-being | 0.404 | 6.422 | ∗∗∗ | Support | H2 | Perceptual usefulness ⟶ behavior attitude | 0.329 | 5.423 | ∗∗∗ | Support | H3 | Perceptual ease of use ⟶ behavior attitude | 0.398 | 6.575 | ∗∗∗ | Support | H4 | Perceptual ease of use ⟶ perceptual usefulness | 0.372 | 5.999 | ∗∗∗ | Support | H5 | Behavior attitude ⟶ willingness to use | 0.425 | 7.777 | ∗∗∗ | Support | H6 | Willingness to use ⟶ usage behavior | 0.535 | 8.095 | ∗∗∗ | Support | H7 | Subjective specification ⟶willingness to use | 0.299 | 5.775 | ∗∗∗ | Support | H8 | Perceptual behavior control ⟶ willingness to use | 0.438 | 7.541 | ∗∗∗ | Support |
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