We are only about two weeks away! 2022 Improving Data, Improving Outcomes (IDIO): Leadership, Equity, Impact is Aug 21-26, 2022, at the Capital Hilton Hotel in Washington, DC. We asked a few of our DaSy TA experts what they are most excited about for the in person return of DaSy’s premier conference.
Conference: OSEP Leadership Conference Date: July 2022 Presenter: Nancy Perez, Betsy Mercier, and Kathy Hebbeler This poster reports responses for 50 states, DC, and Puerto Rico on changes in Part C/619 data systems from 2013 to 2021, and changes in data systems in response to COVID-19. Most states added at least 1 indicator of a […]
Part C and Part B 619 staff can use the dials to support decision-making around how to collect, analyze and present data about sub-groups.
Part C and 619 staff can use this guide to examine potentially problematic terminology used in the field, and identify "an integrated vocabulary and protocol for developing, analyzing, evaluating and disseminating research findings.
The guide is useful to staff who design program forms and surveys that involve the collection of disability, gender, or race/ethnicity information.
This document is written for researchers but the guidance especially for data analysis and dissemination applies to Part C and Part B 619 staff using any data including IDEA administrative data to examine equitable service delivery.
This webinar will help Part C and Part B 619 staff with considering racial equity in several activities, including root cause analyses, development of improvement activities, development of critical questions and related analyses, and framing their SSIP.
Part C and Part B 619 staff can use the explicit, practical examples and guidance in this toolkit to craft their own strategies that help ensure racial equity is centered at all stages of the data life cycle.
Part C and Part B 619 staff can use this resource to examine and strengthen agency and organization data practices to align more closely with equity principles.
Part C and Part B 619 staff can use this resource to improve their data visualization especially when the data are identified by racial or ethnic groups.