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Improving employment outcomes: Using innovative goal-oriented strategies in TANF programs

Date Added to Library: 
Monday, April 8, 2019 - 15:33
Individual Author: 
Derr, Michelle
McCay, Jonathan
Kauff, Jacqueline F.
Reference Type: 
Place Published: 
Washington, D.C.
Published Date: 
Published Date (Date): 
Wednesday, April 3, 2019

New evidence from neuroscience, psychology, and other behavioral sciences suggests that TANF programs may be able to improve participants’ outcomes by applying the science of self-regulation. Self-regulation refers to a foundational set of skills and personality factors that enable people to control their thoughts, emotions, and behavior. It is what helps people set goals, make plans, solve problems, reason, organize, prioritize, initiate tasks, manage time, and persist in and monitor their actions. Mathematica engaged four TANF programs implementing new interventions informed by evidence on self-regulation and designed to help participants reach their personal and job-related goals in a process to improve the quality of the interventions and their implementation. The process, called Learn, Innovate, Improve (LI2), brings social science theory, research evidence, and practice wisdom together, with the goal of creating innovations that are practical, effective, scalable, and sustainable. (Author introduction)


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