Published work on vocabulary assessment has grown substantially in the last 10 years, but it is still somewhat outside the mainstream of the field. There has been a recent call for those developing vocabulary tests to apply professional standards to their work, especially in validating their instruments for specified purposes before releasing them…

This article presents a theory of visual word recognition that assumes that, in the tasks of word identification, lexical decision, and semantic categorization, human readers behave as optimal Bayesian decision makers. This leads to the development of a computational model of word recognition, the Bayesian reader. The Bayesian reader successfully…

Emphasizes that auditory lexical decision has wide applicability and that the paradigm is currently used to study basic processes in word recognition, the nature of the mental lexicon, effects of word frequency, neighbor effects and various other phenomena of isolated word perception. Article reviews the strengths and weaknesses of this task. (54…