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Related Experiment Video

Updated: May 10, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

Language generativity, response generalization, and derived relational responding.

Ian Stewart¹, John McElwee, Siri Ming

¹National University of Ireland, Galway.

The Analysis of Verbal Behavior

|July 2, 2013

Summary

This summary is machine-generated.

Derived relational responding, not response generalization, may explain generative language. Research shows derived relations are key to understanding and producing novel sentences, especially in children with developmental delays.

Keywords:

derived relational responding language generativity manding relational frame theory response generalization

Related Experiment Videos

Last Updated: May 10, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

Area of Science:

Psycholinguistics
Behavioral Psychology
Developmental Psychology

Background:

Language generativity involves producing and understanding novel sentences.
Response generalization is a proposed, but potentially inadequate, explanation for this ability.
A deeper process-level understanding of language generativity is needed.

Purpose of the Study:

To investigate the underlying processes of language generativity.
To evaluate response generalization as an explanation for language generativity.
To propose and support derived relational responding as a more suitable explanation.

Main Methods:

Literature review of "response generalization" definitions and approaches.
Introduction and explanation of derived relational responding.
Review of empirical research connecting derived relations with language.
Presentation of Relational Frame Theory (RFT) conceptualization.
Analysis of studies on derived manding in developmentally delayed populations.

Main Results:

Existing definitions of response generalization may not adequately explain language generativity.
Derived relational responding shows a strong connection with language abilities.
Relational Frame Theory (RFT) offers a framework for understanding derived relations.
Studies on derived manding suggest practical applications for generative language.

Conclusions:

Derived relational responding is a more promising candidate for explaining language generativity.
RFT provides a robust theoretical basis for derived relational responding.
A derived relations-based approach has applied utility for generative language, particularly in developmental contexts.