Open AccessEvidence-Based Performance Management: Applying Behavioral Science to Support Practitioners
Author(s) -
Matthew D. Novak,
Florence D. DiGennaro Reed,
Tyler G. Erath,
Abigail L. Blackman,
Sandra A. Ruby,
Azure J. Pellegrino
Publication year - 2019
Publication title -
perspectives on behavior science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.933
H-Index - 36
eISSN - 2520-8977
pISSN - 2520-8969
DOI - 10.1007/s40614-019-00232-z
Subject(s) - coaching , bridge (graph theory) , psychology , training (meteorology) , work (physics) , medical education , service (business) , performance management , professional development , knowledge management , pedagogy , computer science , medicine , business , engineering , mechanical engineering , physics , marketing , meteorology , psychotherapist
The science of behavior has effectively addressed many areas of social importance, including the performance management of staff working in human-service settings. Evidence-based performance management entails initial preservice training and ongoing staff support. Initial training reflects a critical first training component and is necessary for staff to work independently within an organization. However, investment in staff must not end once preservice training is complete. Ongoing staff support should follow preservice training and involves continued coaching and feedback. The purpose of this article is to bridge the research-to-practice gap by outlining research-supported initial training and ongoing staff support procedures within human-serving settings, presenting practice guidelines, and sharing information about easy-to-implement ways practitioners may stay abreast of current research.