Context This dataset is designed to simulate binomial data, for instance from a forced-choice task. It is inspired by data collected for [Ackerman, Frazier, and Yoshida (in press)][1], which examined whether it was possible to empirically detect the intuitive improvement in acceptability attributed to the addition of a resumptive pronoun in place of a gap within a syntactic island. This phenomenon can be illustrated by comparing the two sentences below: 1. \* Which man? did Jane say that [the parent who scolded \_\_\_\_\_?] forgave the babysitter’s mistake? 2. ? Which man? did Jane say that [the parent who scolded him?] forgave the babysitter’s mistake? Content I've tried to simplify the data and make it as generic as possible so that it may easily be generalized from. I've included random variation across subjects and items, which can be explored in the associated kernel(s). Each of the three experiments has the same basic pattern of variation, but the conditions vary as to whether or not they differ from chance selection. Where to go next? Since this dataset was designed as a simulation of binomial data for instructional purposes, any tools for visualization and analysis beyond those in my own associated kernel(s) would be of huge help. [1]: https://drive.google.com/file/d/0B5blL1tcy5_hWHkyV0dPZFZ2TWM/edit