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Social Categorization and Stimulus Equivalence

Authors: Andrew Watt; Michael Keenan; Dermot Barnes; Ed Cairns;

Social Categorization and Stimulus Equivalence

Abstract

Northern Irish Protestant subjects, Northern Irish Catholic subjects, and English Protestant subjects were taught a series of conditional discriminations using a matching-to-sample procedure. In the presence of Northern Irish Catholic names, subjects were trained to select three-letter nonsense syllables, and in the presence of the nonsense syllables subjects were trained to select Northern Irish Protestant symbols. Subjects were then tested to determine whether the Protestant symbols and Catholic names had become related through symmetry and transitivity. A generalization test was employed to allow for a preliminary investigation of the transfer of experimentally generated equivalence responding to untrained, socially loaded names. Preliminary findings suggest that prior social learning might interfere with equivalence responding. The relevance of these results to the theoretical interpretation of the equivalence phenomenon and to social attitude measurement in general is discussed.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
91
Top 10%
Top 10%
Average
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