Appendix D - IPEDS 2022-23 through 2024-25 Directed Questions

Integrated Postsecondary Education Data System (IPEDS) 2022-23 through 2024-25

Appendix D: Directed Questions

OMB No. 1850-0582 v.30

Submitted by:

National Center for Education Statistics (NCES)

Institute of Education Sciences

U.S. Department of Education

February 2022

revised May 2022

Introduction

This document presents specific topics for which NCES would like to obtain input from Integrated Postsecondary Education Data System (IPEDS) data submitters and other interested parties. Please note that in addition to these specific questions, public comments are encouraged on all proposed changes.

Gender collection in student surveys

1. In the current package, NCES is proposing a separate collection of “gender unknown” and “another gender than provided categories (Men/Women)” in the student surveys that are currently collected by gender (C, E12, EF, GR). NCES has taken this approach because collecting all screens currently collected by gender by these additional categories would lead to a major increase in burden for institutions. This approach will help NCES to better understand the number of students that do not currently fit within the provided categories and the types of institutions most impacted by this type of change.

1. Does your institution currently collect another gender than Men/Women? If so, please indicate your institution type (e.g., 4-year public, 2-year non-degree-granting, etc.).

2. Could your institution report all the existing screens in the student surveys by the categories “gender unknown” and “another gender than provided categories (Men/Women)” if it were to be required? If so, would it increase or decrease institutional burden?

Gender question being proposed:

Of the total students reported, how many students did you allocate to a binary gender category (Men/Women) because their gender was unknown or another gender than the provided categories?

	Number of students
	Undergraduate students	Graduate students
Grand total [Preload]
Gender unknown (i.e., gender information is not known or not collected).
Another gender (i.e., gender information is known but does not fall into either of the mutually exclusive binary categories provided [Men/Women]).
Total of Gender unknown + Another gender [Calculated value]
Total of Students for whom gender is known and falls into one of the mutually exclusive binary categories provided [Men/Women] [Calculated value]

Nonresident category collection

2. In the current package, NCES is proposing to replace the term ‘nonresident alien’ with ‘nonresident’ to use more inclusive language.

NCES is also considering whether the ‘nonresident’ category should be removed from the collection of racial and ethnic data, as determining nonresident status requires institutions to track students on a visa or temporary basis.

As a reminder, institutions are required to give students and staff the opportunity to self-report their race and ethnicity and MUST use a 2-part question to collect these data. The ‘Nonresident (or Nonresident alien)’ category may NOT be presented to students and staff per the OMB guidance and is specific to IPEDS reporting. Institutions should store the data in the 2-question format, not at the aggregated IPEDS reporting categories. For more information, please see https://nces.ed.gov/ipeds/report-your-data/race-ethnicity-collecting-data-for-reporting-purposes.

The following questions aim to provide clarity in this matter:

1. Does your institution have challenges or concerns with determining which students are ‘nonresident’ (or ‘nonresident alien’ in past data collections) for IPEDS reporting purposes? Please describe the challenges/concerns.

2. If NCES were to remove the ‘nonresident’ category from race/ethnicity reporting, could your institution report race/ethnicity by all of the below citizenship options? If not, could your institution report TOTAL student counts for all of the below citizenship options?

- US citizen or US national (already captured using existing race/ethnicity categories)

- Permanent resident or other eligible non-citizen (already captured using existing race/ethnicity categories)

- Foreign/International student with student visa

- Unknown (including undocumented students)

3. In your estimation, for what percentage of Foreign/International students with student visa and students with unknown citizenship (including undocumented students) would your institution not be able to determine race/ethnicity?

4. Please add any additional comments you may have on this topic.