Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses.

IF 1.2 4区 教育学 Q3 EDUCATION, SPECIAL Journal of Behavioral Education Pub Date : 2023-01-01 Epub Date: 2021-09-28 DOI:10.1007/s10864-021-09456-z
Cassandra M Standish, Joseph M Lambert, Bailey A Copeland, Kathryn M Bailey, Ipshita Banerjee, Mallory E Lamers
{"title":"Partially Automated Training for Implementing, Summarizing, and Interpreting Trial-Based Functional Analyses.","authors":"Cassandra M Standish,&nbsp;Joseph M Lambert,&nbsp;Bailey A Copeland,&nbsp;Kathryn M Bailey,&nbsp;Ipshita Banerjee,&nbsp;Mallory E Lamers","doi":"10.1007/s10864-021-09456-z","DOIUrl":null,"url":null,"abstract":"<p><p>Trial-based functional analysis (TBFA) is an accurate and ecologically valid assessment of challenging behavior. Further, there is evidence to suggest that individuals with minimal exposure to behavior analytic assessment methodology (e.g., parents, teachers) can quickly be trained to conduct TBFAs in naturalistic settings (e.g., schools, homes). Notwithstanding, the response effort associated with training development can be prohibitive and may preclude incorporation of TBFA into practice. To address this, we developed a partially automated training package, intended to increase the methodology's accessibility. Using a multiple-probe across skills design, we assessed the degree to which the package increased caregiver accuracy in (a) implementing TBFAs, (b) interpreting TBFA outcomes, and (c) managing TBFA data. Six caregivers completed this study and all demonstrated proficiency following training, first during structured roleplays and again during assessment of their child's actual challenging behavior.</p>","PeriodicalId":47391,"journal":{"name":"Journal of Behavioral Education","volume":"32 2","pages":"239-260"},"PeriodicalIF":1.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477999/pdf/","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1007/s10864-021-09456-z","RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/9/28 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"EDUCATION, SPECIAL","Score":null,"Total":0}
引用次数: 4

Abstract

Trial-based functional analysis (TBFA) is an accurate and ecologically valid assessment of challenging behavior. Further, there is evidence to suggest that individuals with minimal exposure to behavior analytic assessment methodology (e.g., parents, teachers) can quickly be trained to conduct TBFAs in naturalistic settings (e.g., schools, homes). Notwithstanding, the response effort associated with training development can be prohibitive and may preclude incorporation of TBFA into practice. To address this, we developed a partially automated training package, intended to increase the methodology's accessibility. Using a multiple-probe across skills design, we assessed the degree to which the package increased caregiver accuracy in (a) implementing TBFAs, (b) interpreting TBFA outcomes, and (c) managing TBFA data. Six caregivers completed this study and all demonstrated proficiency following training, first during structured roleplays and again during assessment of their child's actual challenging behavior.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
实现、总结和解释基于审判的功能分析的部分自动化培训。
基于试验的功能分析(TBFA)是对挑战行为的准确和生态有效的评估。此外,有证据表明,接触行为分析评估方法最少的个人(如父母、教师)可以很快接受培训,在自然环境(如学校、家庭)中进行TBFA。尽管如此,与培训发展相关的应对工作可能会令人望而却步,并可能妨碍将TBFA纳入实践。为了解决这一问题,我们开发了一个部分自动化的培训包,旨在提高方法的可访问性。使用多探针跨技能设计,我们评估了该包在(a)实施TBFA、(b)解释TBFA结果和(c)管理TBFA数据方面提高护理人员准确性的程度。六名看护人完成了这项研究,他们在培训后都表现出了熟练程度,首先是在结构化角色扮演中,然后是在评估孩子的实际挑战行为时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Behavioral Education
Journal of Behavioral Education EDUCATION, SPECIAL-
CiteScore
4.30
自引率
10.00%
发文量
34
期刊介绍: The Journal of Behavioral Education is an international forum dedicated to publishing original research papers on the application of behavioral principles and technology to education. Education is defined broadly and the journal places no restriction on the types of participants involved in the reported studies--including by age, ability, or setting. Each quarterly issue presents empirical research investigating best-practices and innovative methods to address a wide range of educational targets and issues pertaining to the needs of diverse learners and to implementation. The Journal of Behavioral Education is a peer-reviewed scholarly journal whose target audience is educational researchers and practitioners including general and special education teachers, school psychologists, and other school personnel.  Rigorous experimental designs, including single-subject with replication and group designs are considered for publication. An emphasis is placed on direct observation measures of the primary dependent variable in studies of educational issues, problems, and practices.  Discussion articles and critical reviews also are published.
期刊最新文献
Using Constant Time Delay to Teach Sight Words to Students Identified as Deafblind Applying “Mastery” Criteria to Sets and Individual Operants: A Replication with Preschoolers with Disabilities The Effect of a Tiered Professional Development Framework on Check-In/Check-Out Treatment Fidelity Efficiency and Child Preference for Specific Prompting Procedures Social and Ecological Validity of the Good Behavior Game: A Systematic Review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1