Abstract
This study explores possibilities for productively studying and modelling vision using a probabilistic approach prioritizing the estimation and comparison of linear measures. Visual optometry, survey ratings, and reading assessment data are evaluated in a common frame of reference, with the aim of determining the extent to which an overall model of functional binocular vision might be feasible. The data available for study were not assembled, however, with this explicit aim in mind but appear to incorporate features justifying a preliminary exploration of the possibility that further study would be warranted. Preliminary results include estimates of optometric, survey, and assessment results in a common multidimensional framework, and regression predictions of reading fluency from visual skills and acuity optometry, and a survey of convergence insufficiency symptoms.
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