行为分析组织中预测离职、员工和照顾者满意度的变量检验

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Daniel Cymbal, S. Litvak, David A. Wilder, Gary N. Burns
{"title":"行为分析组织中预测离职、员工和照顾者满意度的变量检验","authors":"Daniel Cymbal, S. Litvak, David A. Wilder, Gary N. Burns","doi":"10.1080/01608061.2021.1910099","DOIUrl":null,"url":null,"abstract":"ABSTRACT Staff turnover can pose a significant problem for human service organizations. For Applied Behavior Analysis (ABA) service providers, turnover may be particularly problematic due to the resources required for training. Accreditation organizations such as the Behavioral Health Center for Excellence® (BHCOE®) collect large amounts of organizational data that can point to trends in ABA organizations and provide a basis for problem identification and intervention. In this study, we evaluated BHCOE® data to examine potential predictors of staff turnover and staff and caregiver satisfaction in ABA organizations. Results of multiple regression analyses suggest that high turnover rates among job classes (i.e., technicians and supervisors) correlate with each other’s turnover. Behavior Technicians are also more likely to turnover when wages are lower and caregiver satisfaction wanes. Staff satisfaction was not a significant turnover predictor but was generally predicted by caregiver satisfaction. These findings suggest that turnover and satisfaction are multi-faceted processes worthy of examination; we provide broad recommendations for improvement and avenues for further study.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01608061.2021.1910099","citationCount":"6","resultStr":"{\"title\":\"An Examination of Variables that Predict Turnover, Staff and Caregiver Satisfaction in Behavior-analytic Organizations\",\"authors\":\"Daniel Cymbal, S. Litvak, David A. Wilder, Gary N. Burns\",\"doi\":\"10.1080/01608061.2021.1910099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Staff turnover can pose a significant problem for human service organizations. For Applied Behavior Analysis (ABA) service providers, turnover may be particularly problematic due to the resources required for training. Accreditation organizations such as the Behavioral Health Center for Excellence® (BHCOE®) collect large amounts of organizational data that can point to trends in ABA organizations and provide a basis for problem identification and intervention. In this study, we evaluated BHCOE® data to examine potential predictors of staff turnover and staff and caregiver satisfaction in ABA organizations. Results of multiple regression analyses suggest that high turnover rates among job classes (i.e., technicians and supervisors) correlate with each other’s turnover. Behavior Technicians are also more likely to turnover when wages are lower and caregiver satisfaction wanes. Staff satisfaction was not a significant turnover predictor but was generally predicted by caregiver satisfaction. These findings suggest that turnover and satisfaction are multi-faceted processes worthy of examination; we provide broad recommendations for improvement and avenues for further study.\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2021-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/01608061.2021.1910099\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/01608061.2021.1910099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/01608061.2021.1910099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 6

摘要

人员流动对人类服务组织来说是一个重大问题。对于应用行为分析(ABA)服务提供者来说,由于培训所需的资源,人员流动可能特别成问题。诸如卓越行为健康中心(BHCOE)等认证机构收集了大量的组织数据,这些数据可以指出ABA组织的趋势,并为问题识别和干预提供基础。在本研究中,我们评估了BHCOE®数据,以检查ABA组织中员工流失率以及员工和护理人员满意度的潜在预测因素。多元回归分析结果表明,工作类别(即技术人员和主管)之间的高流动率与彼此的流动率相关。当工资较低和照顾者满意度下降时,行为技术人员也更有可能离职。员工满意度不是显著的离职预测因子,但一般由照顾者满意度预测。这些发现表明,离职和满意度是多方面的过程,值得研究;我们提供了广泛的改进建议和进一步研究的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Examination of Variables that Predict Turnover, Staff and Caregiver Satisfaction in Behavior-analytic Organizations
ABSTRACT Staff turnover can pose a significant problem for human service organizations. For Applied Behavior Analysis (ABA) service providers, turnover may be particularly problematic due to the resources required for training. Accreditation organizations such as the Behavioral Health Center for Excellence® (BHCOE®) collect large amounts of organizational data that can point to trends in ABA organizations and provide a basis for problem identification and intervention. In this study, we evaluated BHCOE® data to examine potential predictors of staff turnover and staff and caregiver satisfaction in ABA organizations. Results of multiple regression analyses suggest that high turnover rates among job classes (i.e., technicians and supervisors) correlate with each other’s turnover. Behavior Technicians are also more likely to turnover when wages are lower and caregiver satisfaction wanes. Staff satisfaction was not a significant turnover predictor but was generally predicted by caregiver satisfaction. These findings suggest that turnover and satisfaction are multi-faceted processes worthy of examination; we provide broad recommendations for improvement and avenues for further study.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信