Table 5

Results of hypotheses testing

PathTestStatisticEffect sizep-valueSupported
5.a H1: One-way ANOVA (direct effect model)
Anthropomorphism → PIOne-Way ANOVAF(1, 434) = 202.43η² = 0.318< 0.001Yes
GroupMean (M)SD
High anthropomorphism5.211.45
Low anthropomorphism3.031.38
5.b H2: Model 6 of the Hayes Process Macro (indirect effect model)
PathEffect (b)BootSE95% CI (LL, UL)Supported
Anthropomorphism → PI0.430.14[0.16, 0.70]Yes
Anthropomorphism → SP → PI0.430.09[0.24, 0.63]Yes
Anthropomorphism → SP → Trust → PI (H2)0.490.08[0.35, 0.66]Yes
5.c H3a: Model 8 of the Hayes Process Macro (Moderation of Transparency on Anthropomorphism → SP)
PathEffect (b)SEp-value95% CI (LL, UL)Supported
Anthropomorphism → SP2.520.310.001[1.92, 3.12]Yes
Moderation effect (anthro × transparency) → SP−0.170.070.013[−0.31, −0.04]Yes
Conditional Effect (transp = 2.0)2.170.180.001[1.80, 2.54]Yes
Conditional Effect (transp = 4.5)1.730.130.001[1.48, 2.00]Yes
Conditional Effect (transp = 6.0)1.470.190.001[1.10, 1.85]Yes
5.d H3b: Model 92 of the Hayes Process Macro (Moderation of Transparency on Anthropomorphism → SP → Trust → PI)
PathTransparency levelEffect (b)SE/BootSEp-value95% CI (LL, UL)Supported
Anthropomorphism → SP → Trust → PILow transparency0.600.15[0.31, 0.92]Yes
 Moderate transparency0.460.08[0.32, 0.62]Yes
 High transparency0.370.09[0.22, 0.59]Yes
Conditional direct effects
Anthropomorphism → PILow transparency0.120.240.609[−0.34, 0.58]No
 Moderate transparency0.480.130.001[0.20, 0.75]Yes
 High transparency0.690.210.001[0.29, 1.10]Yes
(SP× transparency) → Trust0.0080.0190.657[−0.02,0.46]N/A
(Trust × transparency) → PI−0.0280.0210.355[−0.09,0.03]N/A

Note(s): All confidence intervals are 95% CI; Number of bootstrap samples = 5,000

Source(s): Authors’ own work

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