Exploring the impact of coherence (through the presence versus absence of feedback) and levels of derivation on persistent rule-following
- Author
- Colin Harte, Patrick Michael Dermot Barnes-Holmes (UGent) , Yvonne Barnes-Holmes (UGent) and Ciara McEnteggart (UGent)
- Organization
- Project
- Abstract
- Recent developments in relational frame theory (RFT) have outlined a number of key variables of potential importance when analyzing the dynamics involved in derived relational responding. Recent research has begun to explore the impact of a number of these variables on persistent rule-following, namely, levels of derivation and coherence. However, no research to date has systematically examined the impact of coherence on persistent rule-following at varying levels of derivation. Across two experiments, the impact of coherence (manipulated through the systematic use of performance feedback) was explored on persistent rule-following when derivation was relatively low (Exp. 1) and high (Exp. 2). A training protocol based on the implicit relational assessment procedure (IRAP) was used to establish novel combinatorially entailed relations that manipulated the feedback provided on the untrained, derived relations (A-C) for five blocks of trials in Experiment 1 and one block of trials in Experiment 2. One of these relations was then inserted into the rule for responding on a subsequent contingency-switching match-to-sample task to assess rule persistence. While no significant differences were found in Experiment 1, the provision or non-provision of feedback had a significant differential impact on rule persistence in Experiment 2. These differences, and the subtle complexities that appear to be involved in persistent rule-following in the face of reversed reinforcement contingencies, are discussed.
- Keywords
- Behavioral Neuroscience, Cognitive Neuroscience, Experimental and Cognitive Psychology, Derivation, Coherence, Persistent rule-following, RFT, HDML, PRELIMINARY PSYCHOMETRIC PROPERTIES, PSYCHOLOGICAL INFLEXIBILITY, INSTRUCTIONS, PERFORMANCE
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8746262
- MLA
- Harte, Colin, et al. “Exploring the Impact of Coherence (through the Presence versus Absence of Feedback) and Levels of Derivation on Persistent Rule-Following.” LEARNING & BEHAVIOR, vol. 49, no. 2, 2021, pp. 222–39, doi:10.3758/s13420-020-00438-1.
- APA
- Harte, C., Barnes-Holmes, P. M. D., Barnes-Holmes, Y., & McEnteggart, C. (2021). Exploring the impact of coherence (through the presence versus absence of feedback) and levels of derivation on persistent rule-following. LEARNING & BEHAVIOR, 49(2), 222–239. https://doi.org/10.3758/s13420-020-00438-1
- Chicago author-date
- Harte, Colin, Patrick Michael Dermot Barnes-Holmes, Yvonne Barnes-Holmes, and Ciara McEnteggart. 2021. “Exploring the Impact of Coherence (through the Presence versus Absence of Feedback) and Levels of Derivation on Persistent Rule-Following.” LEARNING & BEHAVIOR 49 (2): 222–39. https://doi.org/10.3758/s13420-020-00438-1.
- Chicago author-date (all authors)
- Harte, Colin, Patrick Michael Dermot Barnes-Holmes, Yvonne Barnes-Holmes, and Ciara McEnteggart. 2021. “Exploring the Impact of Coherence (through the Presence versus Absence of Feedback) and Levels of Derivation on Persistent Rule-Following.” LEARNING & BEHAVIOR 49 (2): 222–239. doi:10.3758/s13420-020-00438-1.
- Vancouver
- 1.Harte C, Barnes-Holmes PMD, Barnes-Holmes Y, McEnteggart C. Exploring the impact of coherence (through the presence versus absence of feedback) and levels of derivation on persistent rule-following. LEARNING & BEHAVIOR. 2021;49(2):222–39.
- IEEE
- [1]C. Harte, P. M. D. Barnes-Holmes, Y. Barnes-Holmes, and C. McEnteggart, “Exploring the impact of coherence (through the presence versus absence of feedback) and levels of derivation on persistent rule-following,” LEARNING & BEHAVIOR, vol. 49, no. 2, pp. 222–239, 2021.
@article{8746262,
abstract = {{Recent developments in relational frame theory (RFT) have outlined a number of key variables of potential importance when analyzing the dynamics involved in derived relational responding. Recent research has begun to explore the impact of a number of these variables on persistent rule-following, namely, levels of derivation and coherence. However, no research to date has systematically examined the impact of coherence on persistent rule-following at varying levels of derivation. Across two experiments, the impact of coherence (manipulated through the systematic use of performance feedback) was explored on persistent rule-following when derivation was relatively low (Exp. 1) and high (Exp. 2). A training protocol based on the implicit relational assessment procedure (IRAP) was used to establish novel combinatorially entailed relations that manipulated the feedback provided on the untrained, derived relations (A-C) for five blocks of trials in Experiment 1 and one block of trials in Experiment 2. One of these relations was then inserted into the rule for responding on a subsequent contingency-switching match-to-sample task to assess rule persistence. While no significant differences were found in Experiment 1, the provision or non-provision of feedback had a significant differential impact on rule persistence in Experiment 2. These differences, and the subtle complexities that appear to be involved in persistent rule-following in the face of reversed reinforcement contingencies, are discussed.}},
author = {{Harte, Colin and Barnes-Holmes, Patrick Michael Dermot and Barnes-Holmes, Yvonne and McEnteggart, Ciara}},
issn = {{1543-4494}},
journal = {{LEARNING & BEHAVIOR}},
keywords = {{Behavioral Neuroscience,Cognitive Neuroscience,Experimental and Cognitive Psychology,Derivation,Coherence,Persistent rule-following,RFT,HDML,PRELIMINARY PSYCHOMETRIC PROPERTIES,PSYCHOLOGICAL INFLEXIBILITY,INSTRUCTIONS,PERFORMANCE}},
language = {{eng}},
number = {{2}},
pages = {{222--239}},
title = {{Exploring the impact of coherence (through the presence versus absence of feedback) and levels of derivation on persistent rule-following}},
url = {{http://doi.org/10.3758/s13420-020-00438-1}},
volume = {{49}},
year = {{2021}},
}
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