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To guide evaluators of employment programs, this report discusses how Bayesian methods can potentially address limitations of standard subgroup analysis.
Explore tools and resources used to leverage administrative data for program improvement in the TANF Data Collaborative Pilot Initiative via a “learning by doing” approach to data analytics.
Social service program stakeholders need timely evidence to inform ongoing program decisions. Rapid learning methods, defined here as a set of approaches designed to quickly and/or iteratively test program improvements and evaluate program implementation or impact, can help inform such decisions. However, stakeholders may be unsure which rapid learning methods are most appropriate for a program’s specific challenges and how to best apply the methods. Additionally, they may be unsure how to cultivate a culture of continuous, iterative learning.
For nearly 100 years, the null hypothesis significance testing (NHST) framework has been used to determine which findings are meaningful (Fisher 1925; Neyman and Pearson 1933). Under this framework, findings deemed meaningful are called “statistically significant.” But the meaning of statistical significance is often...
“Open science” represents a broad movement to make all phases of research—from design to dissemination—more transparent and accessible. The scientific community and Federal agencies that support research have a growing interest in open science methods in response to highly publicized news stories and journal articles that cast doubt on research credibility...
This short-form product describes the value of competency frameworks and competency-based professional development for infant/toddler teachers and caregivers.
This webinar aims to support Child Care and Development Fund (CCDF) Lead Agency staff, their research partners, and others who want to learn more about using data and communicating research findings in ways that support equity and inclusion in early childhood systems.
This brief describes the process used to gather input for a future child support learning agenda and summarizes the key themes in questions identified during workshops with federal staff and external experts. This brief is useful for practitioners and researchers interested in potential directions for building evidence on child support services. The methodology may be of interest to organizations seeking to engage federal and external experts to inform a learning agenda.