Magnitude Recoding in Variable-Range Memorial Comparisons

Several experiments examine propositional and analog model explanations of how relative size judgments are made. Analog models generally claim that analog size values are retrieved from memory and compared. Time to judge remembered size thus reflects a memorial pyschophysics. In contrast, one propositional model, the discrete code model, claims that size codes or features are compared, and that time to judge remembered size reflects feature-matching operations. It is argued that efficiency considerations determine how codes are generated from the data base. Consequently, propositional models predict that coded size will vary as a function of magnitude code efficiency in given problem-solving contexts.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Psychology

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Cech, Claude Gabriel

• Psychology, Experimental

Language dc:language

eng

Identifier

(UMI)AAI8203418

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/66599