By handling numbers in unexpected ways, computers and calculators create headaches for computer programers and set traps for unsuspecting users by sometimes producing wrong answers. Specific examples of such computer/calculator errors are discussed. (Author/JN)

A model which gives maximum likelihood estimates of measurement error within the context of a simplex model for practice effects is presented. The appropriateness of the model is tested for five traits, and error estimates are compared to the classical formula estimates. (Author/JKS)

Examines the use of computers for error detection in natural language texts. Focuses on a computer program designed to teach students to edit their papers for errors using pattern matching in error detection. Describes a "pedagogy for editing" and speculates on ways to improve computer detection of errors in natural language texts. (AEM)