ArticlePerspectives on behavior science2018
Translating Behavior Analysis: a Spectrum Rather than a Road Map.
Article in Perspectives on behavior science, 2018. 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.
- Understanding Individual Subject Differences through Large Behavioral Datasets: Analytical and Statistical Considerations.Perspectives on behavior science · 2024Article
- Advancing and Integrating the Cusp Concept to Understand Behavioral Repertoire Dynamics.Perspectives on behavior science · 2024Article
- Promoting Reciprocal Relations across Subfields of Behavior Analysis via Collaborations.Perspectives on behavior science · 2023Review
- Strengthening the research-practice loop in applied animal behavior: Introduction to the special issue.Journal of the experimental analysis of behavior · 2022Article
- Balancing the scale.Journal of the experimental analysis of behavior · 2022Article
- Nathan H. Azrin: A Case Study in Research Translation in Behavior Science.Perspectives on behavior science · 2021Article
- Editorial: Behavior Science for the Public Welfare.Perspectives on behavior science · 2019Article
- Why We Are Still Not Acting to Save the World: the Upward Challenge of a Post-Skinnerian Behavior Science.Perspectives on behavior science · 2018Article
- Editorial: What Sidman Did -- Historical and Contemporary Significance of Research on Derived Stimulus Relations.Perspectives on behavior science · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Much has been written about the potential benefits of translational research in behavior analysis, but a lack of consensus about what constitutes "translational" creates a barrier to effective knowledge-practice innovation within the discipline and across other sciences. We propose a tiered system, adapted from a biomedical translational pathway, for classifying behavior analysis research on a basic-applied spectrum. Tier 0 is blue sky basic science in which the subjects, behaviors, stimuli, and settings are selected for convenience. Tier 1 is use-inspired basic science with a socially important end game and research subject. Tier 2 is solution-oriented research that attempts to solve a specific problem in a socially important subject, but 1 or more aspects of the research are selected for purposes of experimental control rather than social importance. Tier 3 is applied behavior analysis research that studies a problem of social significance for the subject and involves behaviors, stimuli, and settings that are socially important. Tier 4 is impact assessment in which behavioral technology is applied with a direct benefit to society. We provide examples of behavior-analytic research in each tier and evaluate the potential benefits of organizing behavior analysis in this way.
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.