Contract Number 91990018C0020
State Achievement Data Request appendix
December 11, 2020
Submitted to: |
U.S. Department of Education Institute of Education Sciences 550 12th Street, SW Washington, DC 20202 Project Officer: Tracy Rimdzius Contract Number: 91990018C0020 |
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Submitted by: |
American Institutes for Research 1000 Thomas Jefferson Street, NW Washington, DC 20007 Phone: (202) 403-5000 Facsimile: (202) 403-5001 Project Director: Jessica Heppen
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2016–17 through 2022–23 School Years
Paperwork Burden Statement
According to the Paperwork Reduction Act of 1995, no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. The valid OMB control number for this information collection is 1850-0945. The time required to complete this voluntary information collection is estimated to average 4 hours per request, including the time to review instructions, search existing data resources, gather the data needed, and complete and review the information collection. If you have any comments concerning the accuracy of the time estimate(s) or suggestions for improving this form, please write to: U.S. Department of Education, Washington, DC 20202-4537. If you have comments or concerns regarding the status of your individual submission of this form, write directly to: 550 12th Street, SW, Washington, DC 20202.
The U.S. Department of Education has commissioned a national evaluation of the FY2019 CLSD grantees, and a team at the American Institutes for Research (AIR) and its partners started this work last fall. As a reminder, the evaluation has two key components—an implementation study of all CLSD grantees and subgrantees (consortia and districts) and an impact study of a subset of grantees.
One of the important ways the study team will assess the impact of the CLSD grants is through comparisons of student outcomes between CLSD-funded schools and similar schools not funded by CLSD, both overall and for key student subgroups. This email describes the types of extant data that we will request for the impact study and the timing of our data requests.
Specifically, we will be requesting de-identified administrative data for students in grades 3-8 and the tested high school grade (grade X in your state) in the full set of public schools in [State]. These data include individual students’ state assessment scores, demographic characteristics, as well as information about their grades, schools, and districts. If there are multiple records of a student enrolled during different months or semesters of a given school year, please provide a single record for the student associated with enrollment during the spring state testing window for the school year. Table 1 provides further details about the variables that we plan to request. We understand that the relevant data may be stored in different ways in your state database, and we would be happy to work with your state to adjust our data request as appropriate.
We will submit our initial request in spring 2023 for data for 2016–17 through 2022–23 [for 2021–22 and 2022–23 school years for states that received SRCL grants, which have already provided the data for 2016–17 through 2018–19].1 We will submit a second request in fall 2024 for additional years of data.2 You may provide data for multiple years in separate data files or in one “long” file. The initial request will allow six months for the drafting of a data-sharing agreement between AIR and your state; the second request will allot six weeks for the extraction and transfer of data files. (See Table 2 for the timeline of our data requests.)
The AIR team will work with your state to ensure an efficient and secure transfer of data. If you have any questions or concerns regarding our data request plan, please feel free to contact Dr. Daniel Hubbard via email at [email protected] or by phone at (202) 403-6548.
Table 1. Variables in Data Requests
Variable # |
Data element |
Definition/example |
A. Student ID and demographic information |
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A.1 |
Student pseudo-ID |
A unique student identifier that is linked to the actual student identifier and created for the purpose of this study. A pseudo student identifier is needed to link de-identified student data across years. |
A.2 |
Gender |
Male/female |
A.3 |
Race/ethnicity |
African-American, Asian, Hispanic, Multiracial, Native American, Pacific Islander, White |
A.4 |
Individualized education plan (IEP) status |
An indicator of whether or not the student has an IEP or participates in special education programs |
A.5 |
English learner (EL) status |
An indicator of whether or not the student is an English learner |
A.6 |
Free or reduced-price lunch (FRPL) status |
An indicator of whether the student is eligible for a free or reduced-price lunch |
B. Achievement data |
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B.1 |
Year |
School year state test was taken (e.g., 2022–23) |
B.2 |
State English language arts or reading standardized test score |
Overall test scores and section scores if there are multiple reported sections in the test. |
B.3 |
State math standardized test score |
Overall test scores and section scores if there are multiple reported sections in the test. |
B.4 |
Type of State math test |
The type of the state math test on which the state math test score (B.3) is based on (e.g., general math test or algebra test). |
C. School, district, and grade level information |
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C.1 |
District name |
Student’s district |
C.2 |
NCES district ID |
Unique district identifier assigned by the National Center for Education Statistics (NCES) |
C.3 |
School name |
Student’s school |
C.4 |
NCES school ID |
Unique school identifier assigned by NCES |
C.5 |
Grade level |
Student’s enrolled grade level |
Table 2. Schedule for Data Requests from FY2019 CLSD Grantees
Date of request |
Receipt of data |
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4/11/2023 |
10/23/2023 |
School years 2016–17 through 2022–23 |
9/9/2024 |
10/21/2024 |
School year 2023–24 |
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1 States did not administer standardized achievement assessments in the 2019–20 school year due to the COVID-19 public health crisis and thus, we will not request data from 2019-20.
2 We will request clearance for collecting 2023-24 data in a subsequent package submitted at a later date.
File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
File Title | AIR Proposal |
Subject | AIR Proposal |
Author | Kolegas, Tracy (Bennett) |
File Modified | 0000-00-00 |
File Created | 2022-05-15 |