
32:51
Please feel free to add any questions you have here!

39:03
Eric, if you have some publications or presentation materials that include those statistics on how many states use these measures(specifically for allocation purposes), if you could share those that would be great.

40:57
Agreed, I would love to have the links to those articles to be able to pull those stats!

43:18
A recording of this webinar and our previous webinar, How FRPM Works, will be sent to everyone who has registered in the next 48 hours. We'll include related publications in our email!

43:46
I am Eric's coauthor on these studies. Here is a link: https://www.edworkingpapers.com/sites/default/files/ai21-415.pdf. Footnote 1 gives a subsequent link to data from EdBuild on the numbers of states using FRL data for funding allocations.

44:04
Thank you, Cory!

46:48
For those who are interested, a paper I co-authored looking at the "Study of the Title I, Part A Grant Program Mathematical Formulas" has a paragraph noting the challenges using FRPL as proxies for poverty rates. (pg 23). https://nces.ed.gov/pubs2019/2019016.pdf

47:04
Maybe outside the scope of this conversation, but is there an argument that the current poverty definition is too low and that the FRPL rate, though higher than the official poverty rate, is a better measure of students in need?

48:40
Thanks Rachel, this paper was a great help when I began learning about the allocation process. Tons of great data in that report.

49:46
Is there a way to copy and paste information from the chat? I'm finding I'm not able to do so

50:53
Thank you!

52:01
That made my day, Matt! Let me know if you ever have Title I questions: rdinkes@knowledgeall.net. The same offer extends to anyone on t he chat.

57:59
I would love to hear you all speak to Jenni's question as well! This is a big piece of the conversation about the inaccuracy around poverty data!

58:15
Schools still collect the individualized data in a CEP context, though - that data is not lost because they need to have individualized subgroup data.

58:56
Thank you for the questions! We will have time for Q&A toward the end 🙂

59:18
We appreciate this lively discussion!

01:02:37
So we do a weighted count for our state aid formula. Are you suggesting that we could have a poverty measure that would perhaps be scaled based on income? Perhaps a range of 0-4 where students at different poverty levels would have a higher or lower weight?

01:03:06
Matt, what state are you from? We are reworking this in Maine and would love to learn more about this!

01:03:19
Oklahoma

01:04:03
Thank you! I really appreciate the point that it can be a spectrum but at some point a threshold needs to be set.

01:06:17
As we are thinking about updating funding formula, which is based on wealth equalizing principles, what would you recommend as a good indicator for student poverty, if not CEP or FRPL?

01:06:42
We will answer all these great questions in our Q&A section! Keep them coming, we love the discussion.

01:09:00
Would you mind sharing the link for sign up for the next webinar? I would love to learn more about other options for poverty measurement and don't want to miss the sign up!

01:09:35
Our next upcoming webinar is “Re-thinking the Poverty Indicator: What else could work? Evaluating alternatives to FRPM as a reliable poverty indicator in education” on October 6 at 10am EDT! Register here: https://us02web.zoom.us/webinar/register/WN_ndZrauiUSXuz79maXeGXcw

01:10:40
We will also include the registration link in our follow up email later today.

01:10:51
Thanks!

01:27:05
A reminder as we get closer to the end, our next upcoming webinar is “Re-thinking the Poverty Indicator: What else could work? Evaluating alternatives to FRPM as a reliable poverty indicator in education” on October 6 at 10am EDT! Register here: https://us02web.zoom.us/webinar/register/WN_ndZrauiUSXuz79maXeGXcw

01:30:34
Thanks for the great info!

01:30:41
Thank you! This was wonderfully helpful