Another common model for over dispersion-when some of the observations are not Bernoulli-arises from introducing a normal random variable into a logistic model.
As the normal distribution (Gaussian) has variance as a parameter, any data with finite variance (including any finite data) can be modeled with a normal distribution with the exact variance - the normal distribution is a two-parameter model, with mean and variance.