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Perkins V Postsecondary in Power BI - Shared screen with speaker view
Yingfah (she/her)
16:25
Welcome everyone!
Yingfah (she/her)
18:00
@everyone - Please feel free to type your comments, questions, or suggestions into the chat as we go through the session today.
Yingfah (she/her)
38:27
Yes!
Eva Scates-Winston
39:04
Nice!
Eva Scates-Winston
46:05
Are Native American students included in SOC for this data reporting?
Eva Scates-Winston
48:10
So campuses can drill down further to specific programs and courses to see where there are issues within health care, correct?
Katie Vaccari
50:41
Yes, Eva, Native Americans are included in the Student of Color category in these reports.
Kierstan Peck
53:44
How are individuals with disabilities identified for reporting purposes? Is there a special flag in ISRS that students should have to pull through accurate numbers for reporting?
Katie Vaccari
58:27
The ISRS.PS_DISAB_NEED table is the primary data source for flagging students in that special population. The information comes from data entered in ISRS on students who have requested accommodations, with some additional criteria applied around timing of this (that it overlaps with the cohort), type of disability (something more permanent, not temporary in nature), etc. So for institutions that do not use ISRS to hold this information, they do not have data for this special population.
Eva Scates-Winston
01:00:12
But if you have a small group, it only takes a "loss" of one student to create a large percentage gap. I would think the focus would be larger populations and what is happening with any larger gaps that are occurring there, rather than focusing on the size of any gap.
Katie Vaccari
01:00:20
https://www.minnstate.edu/system/cte/consortium_resources/documents/Perkins%20V%20Postsecondary%20Special%20Population%20Data%20Sources%2011-18-2019.pdf
Katie Vaccari
01:00:44
That document provides some brief information about the current data sources for the special population identification.
Kierstan Peck
01:01:57
Thank you!
Kierstan Peck
01:13:35
Thank you, this was helpful!
Stephen Schrichfield
01:13:40
Thank you!
Kari-Ann Ediger
01:13:40
Thank you! Good job :-)
Carrie Hanson
01:13:44
Thanks!