In the preceding study (I), a model of information transmission had been applied in connection with two test models, the bivariate-normal model and the binomial error model, but here the rate of information transmission in hypothetical tests consisting of items of various characteristics were estimated. The logistic test model was used for computational conveniences. Among others it is interesting that items with lower discriminability, in some cases, yielded higher rates of information transmission than those with higher discriminability. This phenomenon is closely analogous to “attenuation paradox”. There were no monotonic relationships between test reliability and information transmission rate as shown in the bivariatenormal model.
