Essentially, a one-parameter model can be described by a two-parameter model where all α parameters are equal. In order to identify the model and estimate α, however, the variance of the latent trait should be fixed. Thus, a one-parameter model with a large variance of the latent trait is equivalent to a two-parameter model with large discrimination parameter α that is equal for all items together with a fixed variance of the latent trait.
