Evidence map›Paper›PMID 32699742›Full record

ArticleThe Analysis of verbal behavior2020

Derived Relational Responding and Transformations of Function in Children: A Review of Applied Behavior-Analytic Journals.

Jordan Belisle, Dana Paliliunas, Taylor Lauer, Annalise Giamanco, Breanna Lee, Elana Sickman

Abstract read
In one paragraph

Article in The Analysis of verbal behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  7. Selection by consequence: A response to Hayes and Fryling (2019).Journal of contextual behavioral science · 2021
    Review
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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

6 authors.

Jordan BelisleMissouri State University, 901 S. National Ave., Springfield, MO USA.
Dana PaliliunasMissouri State University, 901 S. National Ave., Springfield, MO USA.
Taylor LauerMissouri State University, 901 S. National Ave., Springfield, MO USA.
Annalise GiamancoMissouri State University, 901 S. National Ave., Springfield, MO USA.
Breanna LeeMissouri State University, 901 S. National Ave., Springfield, MO USA.
Elana SickmanMissouri State University, 901 S. National Ave., Springfield, MO USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Theoretical extensions of Skinner's verbal behavior that emphasize derived relational responding (stimulus equivalence, relational frame theory, and bidirectional naming) can improve the complexity and scope of applied behavior-analytic training models with children. We evaluated the prevalence and content of empirical research on derived relational responding in children within 8 major applied behavior-analytic journals. We identified 123 empirical articles that met all inclusion criteria (i.e., they demonstrated derived relational responding in children). Whereas prior citation analyses have shown higher rates of research with adult participants, considerable research within these journals has involved child participants. In addition, 55% of the research targeted socially relevant or culturally established verbal relations, rather than culturally arbitrary relations (e.g., unknown symbols, consonant-vowel-consonant combinations) that are unlikely to affect real-world behavior. Generalization and transformation tests were also present in 47% of articles. We also conducted a content analysis of all articles that contained culturally relevant relations and demonstrated generalization or transformation of stimulus function (21% of all articles,

Indexed as

Bidirectional namingRelational frame theoryStimulus equivalenceVerbal behavior

Identifiers

PMID32699742
PMCPMC7343693

What OpenQuestion holds

Textmetadata
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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.