Evidence map›Paper›PMID 31621019›Full record

ArticleJournal of autism and developmental disorders2020

Increasing Response Diversity to Intraverbals in Children with Autism Spectrum Disorder.

Gabrielle T Lee, Xiaoyi Hu, Yanhong Liu, Chouyun Zou, Xia Cheng, Qi Zhao, Jingjing Huang

Abstract readEvaluation Study
In one paragraph

Article in Journal of autism and developmental disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Review
  3. 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

7 authors.

Gabrielle T LeeFaculty of Education, Western University, 1137 Western Road, Room 1105, London, ON, Canada.
Xiaoyi HuDepartment of Special Education, Beijing Normal University, Rm 408, YingDong Building, Xin Jie Kou Wai Da Jie #19, Beijing, China. huxiaoyi@bnu.edu.cn.ORCID http://orcid.org/0000-0002-6936-4799
Yanhong LiuDepartment of Special Education, Beijing Normal University, Rm 419, YingDong Building, Xin Jie Kou Wai Da Jie #19, Beijing, China.
Chouyun ZouZhuxiang School, Nong Lin Road #61, FuTian District, Shenzhen, China.
Xia ChengFaculty of Education, Education Research Center for Children with Autism, Beijing Normal University, Rm 406, YingDong Building, Xin Jie Kou Wai Da Jie #19, Beijing, China.
Qi ZhaoHai Dian Modern Art Preschool, 7th Building, Luo Zhuang Xi Li, Zhi Chun Lu, HaiDian, Beijing, China.
Jingjing HuangHai Dian Modern Art Preschool, 7th Building, Luo Zhuang Xi Li, Zhi Chun Lu, HaiDian, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to evaluate the effects of intraverbal prompts on response diversity and novelty in intraverbals posed to children with autism spectrum disorder (ASD). The intraverbal prompts involving function, feature, and class (FFC) of an item were used in the training of three questions requiring multiple responses. Two Chinese boys with ASD (aged 5-6 years) served as participants. A multiple-probe across three behaviors design was employed. The results indicated that the intraverbal prompts effectively increased the number of divergent responses to all three questions. Novel responses emerged at a low level while generalization to similar questions was not observed following the training.

Indexed as

Generalization, PsychologicalVerbal BehaviorAsian PeopleAutism Spectrum DisorderChildChild, PreschoolHumansMaleAutism spectrum disorderConvergent controlCreativityDivergent controlIntraverbal behaviorMultiple controlResponse diversity

Identifiers

PMID31621019
PMCPMC6946731

What OpenQuestion holds

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LicenceCC BY
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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.