ArticlePerspectives on behavior science2020
The Study of Rule-Governed Behavior and Derived Stimulus Relations: Bridging the Gap.
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.
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.
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.
Who cites it
9 citing papers in PubMed.
- Towards a Functional Account of Mass-Shooting: Prediction and Influence of Violent Behavior.Perspectives on behavior science · 2025Article
- Follow, Flex, and Flout: A Relational Frame Theory Account of Flexibility in the Context of Rule-Governed Behavior.Behavioral sciences (Basel, Switzerland) · 2025Article
- Preliminary Analysis of Rule Explicitness on Instructional Control in Immediate and Delayed Contingencies.The Analysis of verbal behavior · 2025Article
- Naming, Stimulus Equivalence and Relational Frame Theory: Stronger Together than Apart.Perspectives on behavior science · 2025Article
- Countercontrol: A Relational Frame Theory (RFT) Account and Revival of a 70-Year-Old Skinnerian Term.Perspectives on behavior science · 2022Article
- Values: A Core Guiding Principle for Behavior-Analytic Intervention and Research.Behavior analysis in practice · 2022Article
- Rule-Governed Behavior and Climate Change: Why Climate Warnings Fail to Motivate Sufficient Action.Behavior and social issues · 2022Article
- Exploring the impact of coherence (through the presence versus absence of feedback) and levels of derivation on persistent rule-following.Learning & behavior · 2021Article
- Underlying Principles of a Covid-19 Behavioral Vaccine for a Sustainable Cultural Change.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.