Evidence map›Paper›PMID 32647787›Full record

ArticlePerspectives on behavior science2020

The Study of Rule-Governed Behavior and Derived Stimulus Relations: Bridging the Gap.

Colin Harte, Dermot Barnes-Holmes, Yvonne Barnes-Holmes, Ama Kissi

Abstract read
In one paragraph

Article in Perspectives on behavior science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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  9. Underlying Principles of a Covid-19 Behavioral Vaccine for a Sustainable Cultural Change.International journal of environmental research and public health · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Colin HarteDepartment of Experimental, Clinical, and Health Psychology, Ghent University, Henri Dunantlaan, 2, 9000 Ghent, Belgium.
Dermot Barnes-HolmesDepartment of Experimental, Clinical, and Health Psychology, Ghent University, Henri Dunantlaan, 2, 9000 Ghent, Belgium.
Yvonne Barnes-HolmesDepartment of Experimental, Clinical, and Health Psychology, Ghent University, Henri Dunantlaan, 2, 9000 Ghent, Belgium.
Ama KissiDepartment of Experimental, Clinical, and Health Psychology, Ghent University, Henri Dunantlaan, 2, 9000 Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of rule-governed behavior or instructional control has been widely recognized for many decades within the behavior-analytic literature. It has also been argued that the human capacity to formulate and follow increasingly complex rules may undermine sensitivity to direct contingencies of reinforcement, and that excessive reliance upon rules may be an important variable in human psychological suffering. Although the concept of rules would appear to have been relatively useful within behavior analysis, it seems wise from time to time to reflect upon the utility of even well-established concepts within a scientific discipline. Doing so may be particularly important if it begins to emerge that the existing concept does not readily orient researchers toward potentially important variables associated with that very concept. The primary purpose of this article is to engage in this reflection. In particular, we will focus on the link that has been made between rule-governed behavior and derived relational responding, and consider the extent to which it might be useful to supplement talk of rules or instructions with terms that refer to the dynamics of derived relational responding.

Indexed as

Derived relationsHDML frameworkRelational frame theoryRelational networksRule-governed behavior

Identifiers

PMID32647787
PMCPMC7316874

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.