1. A theoretical comparison of list scanning models
- Author
-
Steven K. Shevell and Richard C. Atkinson
- Subjects
Nonlinear system ,Applied Mathematics ,Linearity ,Algorithm ,General Psychology ,Mathematics ,Coding (social sciences) ,Parallel search - Abstract
Eight specific list scanning models are developed and relationships between predictions of contrasting models (serial versus parallel search, self-terminating versus exhaustive processing) are investigated. All models assume that items contained in a list are uniquely defined by specific features, and that the only process by which two items may be tested for equality is to compare corresponding features. All models predict RT to be linearly related with list length when no subject errors occur. With errors, some models predict theoretical nonlinearity but sample calculations indicate that deviation from linearity is slight in many cases. The importance of coding strategy is also discussed.
- Published
- 1974
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