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Selecting a stimulus set with prescribed structure from empirical confusion frequencies
Author(s) -
Heiser Willem J.
Publication year - 1988
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1988.tb00886.x
Subject(s) - confusion , scaling , similarity (geometry) , mathematics , multidimensional scaling , metric (unit) , stimulus (psychology) , set (abstract data type) , statistics , algorithm , pattern recognition (psychology) , artificial intelligence , computer science , cognitive psychology , psychology , geometry , operations management , psychoanalysis , economics , image (mathematics) , programming language
The problem of selecting a subset of stimuli when empirical confusion frequencies are given is discussed for a case in which a quartet of letter pairs must be found with maximum similarity within pairs and minimum similarity between pairs. As a preliminary step the Shepard–Luce model is fitted; a non‐metric three‐dimensional scaling analysis provides confirmation of the validity of the actually selected pairs.