Evidence map›Paper›PMID 34150451›Full record

ArticleBehavior analysis in practice2021

Analyzing Consequence Variables Within the High-Probability Instructional Sequence for a Child Diagnosed With CHARGE Syndrome.

Caleb R Davis, Judah B Axe

Open access · greenAbstract read
In one paragraph

Article in Behavior analysis in practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Caleb R DavisDepartment of Behavior Analysis, Simmons University, 300 The Fenway, Boston, MA 02115 USA.ORCID https://orcid.org/0000-0001-7387-9069
Judah B AxeDepartment of Behavior Analysis, Simmons University, 300 The Fenway, Boston, MA 02115 USA.ORCID https://orcid.org/0000-0001-6182-2145
Simmons University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many individuals with developmental disabilities exhibit noncompliance during intensive instruction. As a treatment for noncompliance, the high-probability instructional sequence (high-p sequence) consists of delivering several high-p instructions before a low-p instruction. The purpose of this study was to extend the research on comparing consequences for high-p demands-namely, praise, edibles, and videos-with an 11-year-old girl diagnosed with CHARGE syndrome. CHARGE syndrome is a rare medical condition often resulting in multisensory impairments and developmental delays. In Treatment Analysis 1, we compared praise versus edibles as consequences for compliance with high- and low-p instructions. Results showed the edibles were initially more effective than praise, but the effects did not maintain. In Treatment Analysis 2, we changed the consequence for compliance with high- and low-p instructions to a music video and then attempted to fade the number of high-p instructions. We replicated the efficacy of the high-p sequence but failed to fade the number of high-p instructions and failed to achieve maintenance. Therefore, in Treatment Analysis 3, we conducted presession preference assessments of music videos in order to use a selected video as the consequence for compliance. This "varied reinforcement" intervention resulted in high levels of compliance. Results are discussed in terms of motivating operations and recommendations for practice.

Indexed as

CHARGE syndromeHigh-probability instructional sequenceMotivating operationsNoncompliance

Identifiers

PMID34150451
PMCPMC8149528
OpenAlexW3121119617

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.