Using data-enabled performance feedback and guidance to assist employment consultants in their work with job seekers: An experimental study

John Butterworth; Alberto Migliore; Kelly Nye-Lengerman; Oliver Lyons; Amy Gunty; Jill Eastman; Paul Foos

doi:10.3233/JVR-201096

Using data-enabled performance feedback and guidance to assist employment consultants in their work with job seekers: An experimental study

John Butterworth, Alberto Migliore, Kelly Nye-Lengerman, Oliver Lyons, Amy Gunty, Jill Eastman, Paul Foos

Institute on Community Integration

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

BACKGROUND: The success of job seekers with disabilities in achieving their employment goals depends in large part on the quality of employment supports that they receive from employment consultants. OBJECTIVE: To test the effectiveness of data-enabled performance feedback to assist employment consultants in implementing standards of effective employment supports. METHODS: A total of 187 employment consultants in 30 states were randomly assigned to intervention or control groups. The intervention group received data-enabled performance feedback and guidance for 12 months, whereas the control group continued with business as usual. Both groups completed baseline and quarterly surveys throughout the intervention. RESULTS: One year after baseline, the intervention group reported a statistically significant improvement in job seekers' work hours, compared to the control group. Earnings and time to hire improved as well, but the change was not statistically significant. There was no meaningful difference in the number of job seekers hired across the intervention and control groups. CONCLUSION: Challenges in the fidelity of implementation of the intervention make it premature to draw conclusions about the effectiveness of data-enabled performance feedback to employment consultants for improving job seekers' employment outcomes.

Original language	English (US)
Pages (from-to)	219-225
Number of pages	7
Journal	Journal of Vocational Rehabilitation
Volume	53
Issue number	2
DOIs	https://doi.org/10.3233/JVR-201096
State	Published - 2020

Bibliographical note

Funding Information:
The development of this manuscript was supported in part by Grant #90RT5028 and grant # 90RT5019, National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), Administration for Community Living (ACL), U.S. Department of Health and Human Services (HHS). The content of this presentation does not necessarily represent the policy of NIDILRR, ACL or HHS. The authors would like to acknowledge the contribution of Paul Foos for developing the daily survey application, Mark Hutchinson for technical support, and Anya Weber for copyediting.

Publisher Copyright:
© 2020 - IOS Press and the authors. All rights reserved

Keywords

Employment specialist
Evidence-based
Intellectual disabilities
Job development
Training

Publisher link

10.3233/JVR-201096

Find It

Find It at U of M Libraries

Cite this

@article{ab2717b5a3ee4eebb35c877497fbe797,

title = "Using data-enabled performance feedback and guidance to assist employment consultants in their work with job seekers: An experimental study",

abstract = "BACKGROUND: The success of job seekers with disabilities in achieving their employment goals depends in large part on the quality of employment supports that they receive from employment consultants. OBJECTIVE: To test the effectiveness of data-enabled performance feedback to assist employment consultants in implementing standards of effective employment supports. METHODS: A total of 187 employment consultants in 30 states were randomly assigned to intervention or control groups. The intervention group received data-enabled performance feedback and guidance for 12 months, whereas the control group continued with business as usual. Both groups completed baseline and quarterly surveys throughout the intervention. RESULTS: One year after baseline, the intervention group reported a statistically significant improvement in job seekers' work hours, compared to the control group. Earnings and time to hire improved as well, but the change was not statistically significant. There was no meaningful difference in the number of job seekers hired across the intervention and control groups. CONCLUSION: Challenges in the fidelity of implementation of the intervention make it premature to draw conclusions about the effectiveness of data-enabled performance feedback to employment consultants for improving job seekers' employment outcomes.",

keywords = "Employment specialist, Evidence-based, Intellectual disabilities, Job development, Training",

author = "John Butterworth and Alberto Migliore and Kelly Nye-Lengerman and Oliver Lyons and Amy Gunty and Jill Eastman and Paul Foos",

note = "Funding Information: The development of this manuscript was supported in part by Grant #90RT5028 and grant # 90RT5019, National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), Administration for Community Living (ACL), U.S. Department of Health and Human Services (HHS). The content of this presentation does not necessarily represent the policy of NIDILRR, ACL or HHS. The authors would like to acknowledge the contribution of Paul Foos for developing the daily survey application, Mark Hutchinson for technical support, and Anya Weber for copyediting. Publisher Copyright: {\textcopyright} 2020 - IOS Press and the authors. All rights reserved",

year = "2020",

doi = "10.3233/JVR-201096",

language = "English (US)",

volume = "53",

pages = "219--225",

journal = "Journal of Vocational Rehabilitation",

issn = "1052-2263",

publisher = "IOS Press",

number = "2",

}

TY - JOUR

T1 - Using data-enabled performance feedback and guidance to assist employment consultants in their work with job seekers

T2 - An experimental study

AU - Butterworth, John

AU - Migliore, Alberto

AU - Nye-Lengerman, Kelly

AU - Lyons, Oliver

AU - Gunty, Amy

AU - Eastman, Jill

AU - Foos, Paul

N1 - Funding Information: The development of this manuscript was supported in part by Grant #90RT5028 and grant # 90RT5019, National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), Administration for Community Living (ACL), U.S. Department of Health and Human Services (HHS). The content of this presentation does not necessarily represent the policy of NIDILRR, ACL or HHS. The authors would like to acknowledge the contribution of Paul Foos for developing the daily survey application, Mark Hutchinson for technical support, and Anya Weber for copyediting. Publisher Copyright: © 2020 - IOS Press and the authors. All rights reserved

PY - 2020

Y1 - 2020

N2 - BACKGROUND: The success of job seekers with disabilities in achieving their employment goals depends in large part on the quality of employment supports that they receive from employment consultants. OBJECTIVE: To test the effectiveness of data-enabled performance feedback to assist employment consultants in implementing standards of effective employment supports. METHODS: A total of 187 employment consultants in 30 states were randomly assigned to intervention or control groups. The intervention group received data-enabled performance feedback and guidance for 12 months, whereas the control group continued with business as usual. Both groups completed baseline and quarterly surveys throughout the intervention. RESULTS: One year after baseline, the intervention group reported a statistically significant improvement in job seekers' work hours, compared to the control group. Earnings and time to hire improved as well, but the change was not statistically significant. There was no meaningful difference in the number of job seekers hired across the intervention and control groups. CONCLUSION: Challenges in the fidelity of implementation of the intervention make it premature to draw conclusions about the effectiveness of data-enabled performance feedback to employment consultants for improving job seekers' employment outcomes.

AB - BACKGROUND: The success of job seekers with disabilities in achieving their employment goals depends in large part on the quality of employment supports that they receive from employment consultants. OBJECTIVE: To test the effectiveness of data-enabled performance feedback to assist employment consultants in implementing standards of effective employment supports. METHODS: A total of 187 employment consultants in 30 states were randomly assigned to intervention or control groups. The intervention group received data-enabled performance feedback and guidance for 12 months, whereas the control group continued with business as usual. Both groups completed baseline and quarterly surveys throughout the intervention. RESULTS: One year after baseline, the intervention group reported a statistically significant improvement in job seekers' work hours, compared to the control group. Earnings and time to hire improved as well, but the change was not statistically significant. There was no meaningful difference in the number of job seekers hired across the intervention and control groups. CONCLUSION: Challenges in the fidelity of implementation of the intervention make it premature to draw conclusions about the effectiveness of data-enabled performance feedback to employment consultants for improving job seekers' employment outcomes.

KW - Employment specialist

KW - Evidence-based

KW - Intellectual disabilities

KW - Job development

KW - Training

UR - http://www.scopus.com/inward/record.url?scp=85090467644&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85090467644&partnerID=8YFLogxK

U2 - 10.3233/JVR-201096

DO - 10.3233/JVR-201096

M3 - Article

AN - SCOPUS:85090467644

SN - 1052-2263

VL - 53

SP - 219

EP - 225

JO - Journal of Vocational Rehabilitation

JF - Journal of Vocational Rehabilitation

IS - 2

ER -

Using data-enabled performance feedback and guidance to assist employment consultants in their work with job seekers: An experimental study

Abstract

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this