Research Article
Conquering Gender Stereotype Threat in “Digit Sports”: Effects of Gender Swapping on Female Players’ Continuous Participation Intention in ESports
Table 3
Results of the moderated mediated model (process model 14).
| (a) Results of the moderated mediated model analysis | Outcome | SEF | CPI | Predictor | β(SE) | | 95% CI lower | 95% CI upper | β(SE) | | 95% CI lower | 95% CI upper |
| GS | 0.011 (0.036) | 0.0017 | 0.043 | 0.18 | 0.018 (0.035) | 0.57 | −0.049 | 0.089 | DIS | — | — | — | — | 0.74 (0.30) | <0.05 | 0.14 | 1.33 | SEF | — | — | — | — | 0.77 (0.13) | <0.001 | 0.51 | 1.03 | SEF∗DIS | — | — | — | — | −0.22 (0.090) | <0.05 | −0.40 | −0.043 |
| (b) Results of the conditional indirect effect of self-efficacy at different status of discrimination |
| GS⟶SEF⟶CPI | Discrimination experience | Effect (SE) | 95% CI lower | 95% CI upper | No (effect 1) | 0.038 (0.017) | 0.0075 | 0.072 | Yes (effect 2) | 0.062 (0.026) | 0.016 | 0.12 | Effect 1 minus effect 2 | −0.24(0.018) | −0.067 | 0.0007 |
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Note. GS = gender-swapping, SEF = self-efficacy, CPI = continuous participation intention, SE = standard error.
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