Biases influence the decisions people make in everyday life, even if they are unaware of it. The current study investigates the extent bias behavior transfers into social interactions in virtual worlds by investigating the effect of aversive racism on helping behaviors and learning within a virtual world for medical triage training. In a 2 × 2 × 2…

A comparison of the error profiles of monolingual (child L1) learners of Dutch, Moroccan children (child L2) and Moroccan adults (adult L2) learning Dutch as their L2 shows that participants in all groups massively overgeneralize [-neuter] articles to [+neuter] contexts. In all groups, the reverse gender mistake infrequently occurs. Gender…

Shows how and why errors get introduced into examples in computer software documentation and what actions technical communicators can take to minimize this occurrence. Proposes a method to test examples. Suggests that technical writers can avoid these sources of error by creating and implementing a good test plan, maintaining and updating the…

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)

Based on data from two experiments, this article attempts to assess degree to which people differ in interpretations of questions referring to library services and the implications for interpreting survey results. Sources of error in questionnaire research--sampling, response (question interpretation, response decision, category choices)--are…

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)