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Exploring the impact of coherence (through the presence versus absence of feedback) and levels of derivation on persistent rule-following

(2021) LEARNING & BEHAVIOR. 49(2). p.222-239
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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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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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