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. 2021 Sep 6;12:700180. doi: 10.3389/fpsyg.2021.700180

Table 4.

Moderated mediation analysis—self-construal (InterSC and IndSC) moderates the direct and indirect relationship between VA and SCI (PROCESS model 8, 95% CI).

B se t p LLCI ULCI
Model 1: SCI as outcome
PU 0.607 0.057 10.575 0.000 0.494 0.720
VA 0.149 0.055 2.729 0.007 0.042 0.256
InterSC 0.235 0.059 4.017 0.000 0.120 0.350
VA X InterSC 0.055 0.026 2.102 0.036 0.004 0.107
The conditional direct effect of VA on SCI at values of InterSC
InterSC (-1 SD) 0.087 0.062 1.407 0.160 −0.034 0.208
InterSC (+1 SD) 0.211 0.063 3.370 0.001 0.088 0.335
Model 2: PU as outcome
VA 0.399 0.046 8.732 0.000 0.309 0.489
IndSC 0.447 0.054 8.221 0.000 0.340 0.554
VA X IndSC −0.073 0.025 −2.884 0.004 −0.122 −0.023
The conditional direct effect of VA on PU at values of IndSC
IndSC (−1 SD) 0.478 0.054 8.869 0.000 0.372 0.584
IndSC (+1 SD) 0.321 0.053 6.093 0.000 0.217 0.424
Bootstrapping results for the indirect effect (via PU) between VA and SCI
Index of moderated mediation Index SE (Boot) BootLLCI BootULCI
IndSC(moderator) −0.045 0.021 −0.092 −0.009
The conditional indirect effect of VA ON SCI via PU
IndSC (−1 SD) 0.295 0.062 0.185 0.427
IndSC (+1 SD) 0.198 0.067 0.091 0.355

N = 321. B, unstandardized regression coefficients; LL, lower limit; CI, confidence interval; UL, upper limit; Boot, bootstrap (sample = 5,000); VA, visual aesthetics; PU, perceived usefulness; SCI, social commerce intention; InterSC, interdependent self-construal; IndSC, independent self-construal.