Evaluating an innovative integrated training for child and youth services: Lessons learned.


Journal

Evaluation and program planning
ISSN: 1873-7870
Titre abrégé: Eval Program Plann
Pays: England
ID NLM: 7801727

Informations de publication

Date de publication:
06 2022
Historique:
received: 28 01 2021
revised: 17 09 2021
accepted: 13 03 2022
pubmed: 27 3 2022
medline: 9 6 2022
entrez: 26 3 2022
Statut: ppublish

Résumé

This article highlights one child and youth services agency's journey to develop and pilot a system for tracking training effectiveness for staff. Given the importance of intentional and strong staff training to the success of an agency, the purpose of this study was to report training outcomes across four-time intervals (i.e., immediately after training considered here as baseline, 6 months, 12 months, and 18 months) using a tracking system based on best practices in staff development. Results indicated that the tracking system allowed this agency to measure and describe post-training outcomes for staff across the four-time intervals. It can be inferred that such training positively influenced youth outcomes. Specifically, the training and follow-up expanded staff's ability to effectively internalize concepts and be more intentional with their time for the benefit of youth care.

Identifiants

pubmed: 35338982
pii: S0149-7189(22)00028-3
doi: 10.1016/j.evalprogplan.2022.102074
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102074

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Kenneth M Coll (KM)

Counseling and Educational Psychology, University of Nevada Reno, USA. Electronic address: kcoll@unr.edu.

Roger A Stewart (RA)

Literacy, Boise State University, Boise, ID, USA.

Alexander Day (A)

Counseling and Educational Psychology, University of Nevada Reno, USA.

Stacey Scholl (S)

Cathedral Home for Children, Laramie, WY, USA.

Nicole Hauser (N)

Cathedral Home for Children, Laramie, WY, USA.

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Classifications MeSH