Table 1.
Variables included in the model.
Table 2.
Modelling strategy.
Table 3.
Descriptive analysis of the sample.
Table 4.
Sample composition and support for FGM/C according to citizenship at birth.
Table 5.
Multinomial probit choice models. Case-specific coefficients and robust standard errors from Model 1a and Model 2a for women who condition FGM/C continuation on medicalization vs women who support FGM/C unconditionally.
Table 6.
Multinomial probit choice models. Case-specific coefficients and robust standard errors from Model 1b and Model 2b for women who conditioning FGM/C continuation on medicalization vs women who support FGM/C unconditionally.
Fig 1.
Predicted probabilities of supporting the continuation of FGM/C by the highest level of education achieved (Model 1a).
Fig 2.
Predicted probabilities of supporting the continuation of FGM/C by age at the time of the survey and the number of daughters ever born (Model 1a).
Fig 3.
Predicted probabilities of supporting the continuation of FGM/C by the level of medicalization in the country of origin (Model 1a).
Table 7.
Predicted probabilities of supporting FGM/C based on perceived benefits for cut girls (significant variables according to Model 1).