Table A6

Results of structural equation modeling with covariates in the analysis

Hypothesized relationshipsEffectsaStderrt-valueResult
Fashion condition    
Self-presence → SE0.68***0.0710.75H1: confirmed
SEP → brand cognitive processing0.27***0.073.54H2: confirmed
SEP → brand attitude0.25**0.092.76H3: confirmed
Indirect effect: SEP→SE→ BCP0.40***0.066.44 
Indirect effect: SEP→SE→BA0.24***0.073.62 
Total effect: SEP→BCP0.67***0.0610.27 
Total effect: SEP→BA0.49***0.077.69 
SE → BCP0.60***0.077.44H4: confirmed
Indirect effect: SE → BCP→ BA0.20**0.072.69H5: confirmed
Total effect: SE → BA0.22**0.082.41 
Direct effect: SE → BA0.01n.s.0.110.10 
BCP → BA0.34**0.132.88 
Beauty condition    
SEP → SE0.68***0.0610.96H1: confirmed
SEP → BCP0.30***0.064.13H2: confirmed
SEP → BA0.21**0.102.49H3: confirmed
Indirect effect: SEP→SE→BCP0.39***0.066.20 
Indirect effect: SEP→SE→BA0.35***0.075.85 
Total effect: SEP→BCP0.68***0.0610.21 
Total effect: SEP→ BA0.55***0.069.35 
SE → BCP0.57***0.077.37H4: confirmed
Indirect effect: SE → BCP→ BA0.18***0.072.98H5: confirmed
Total effect: SE → BA0.37***0.095.14 
Direct effect: SE → BA0.19n.s.0.131.60 
BCP → BA0.32**0.152.79 
Covariates    
Fashion condition    
Age → SE0.01n.s.0.060.18 
Edu → SE−0.05n.s.0.08−1.24 
Int → SE0.06n.s.0.141.10 
Age → BCP0.03n.s.0.040.55 
Edu → BCP0.06n.s.0.061.10 
Int → BCP0.01n.s.0.111.10 
Age → BA−0.08n.s.0.06−1.39 
Edu → BA−0.04n.s.0.08−0.50 
Int → BA0.12**0.152.18 
Beauty condition    
Age → SE−0.10*0.05−1.81 
Edu → SE0.01n.s.0.060.25 
Int → SE0.04n.s.0.140.71 
Age → BCP−0.04n.s.0.05−0.96 
Edu → BCP−0.04n.s.0.071.10 
Int → BCP0.10n.s.0.110.15 
Age → BA0.04n.s.0.06−1.39 
Edu → BA−0.02n.s.0.08−0.50 
Int → BA0.13**0.152.18 

Notes:

SE = self-explorative engagement; SEP = self-presence; BA = brand attitude; BCP = brand cognitive processing. astandardized effect; Stderr = standard error; critical t-value (one-tailed) = 1.645. ***p < 0.001; **p < 0.01; n.s.p > 0.05

Source: Authors’ own work

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