Table A7.

SM Results with and without age and gender controls

 Model without controlsModel with controls (age; gender)
SRMR = 0.071SRMR = 0.067
EffectsSample Mean (M)p-ValueSample mean (M)p−Value
Direct effects     
AQWINT → FUTWTINT0.5030.000***0.5400.000***
CPH → FUTWTINT0.1920.024**0.1860.035**
CPH → RISKAVOID0.7840.000***0.7800.000***
RISKAVOID → FUTWTINT−0.3860.000***−0.3940.000***
WI → AQWINT0.8030.000***0.7660.000***
WI → FUTWTINT0.2790.002***0.2900.000***
red_travTIME → FUTWTINT−0.1590.004***−0.1620.003***
red_trav$ → FUTWTINT0.1020.063*0.1160.049**
Specific indirect effects    
CPH → RISKAVOID → FUTWTINT−0.3030.000***−0.3070.000***
WI → AQWINT → FUTWTINT0.4030.000***0.4140.000***
Control variables effects    
Age → AQWINT  −0.1030.007***
Age → FUTWTINT  0.1230.009***
Age → RISKAVOID  −0.0090.797 
Gender_Male → AQWINT  0.1000.003***
Gender_Male → FUTWTINT  0.0000.999 
Gender_Male → RISKAVOID  0.1330.000***

Notes:

Despite significant effects emerged for both gender and age control variables on two endogenous constructs (AQWINT and RISKAVOID), their introduction in the model does not impact the outcome variable FUTWTINT. Moreover, path estimates do not change substantially either in terms of path strength or direction

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