Using Part C Family Outcomes Data to Examine Equity and Representativeness

In this session, we will provide information on how to analyze Family Outcomes data to identify program improvement opportunities for addressing response rate representativeness and equity. We will describe an example of a self-assessment tool adapted using the Family Outcomes Measurement System Framework that some states are currently using to examine Family Outcomes representativeness and equity. State presenters will share examples of their work in this effort. We will explain how the “Look-Think-Act” protocol and critical data questions can be used for the process of examining representativeness and equity. We also will discuss strategies for engaging stakeholders in program improvement activities in meaningful ways based on the data.

(Presentation available soon)


Siobhan ColganSiobhan Colgan
Thomas McGheeThomas McGhee
Part C Local Program Director, North Carolina
Lauren MillerLauren Miller
Part C Data Analyst, New York
Katie RekscKatie Reksc
Part C Health Program Administrator, New York
Justine RogoffJustine Rogoff
Part C Data and Evaluation Specialist, North Carolina
Jessica SimmonsJessica Simmons
Part C Training, TA, and QI/SSIP Unit Manager, New York
Sherri WilliamsSherri Williams
Bin ZhuBin Zhu
Part C Data Analyst, New York