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Lead Educational Research & Data Analysis Services

Active

State & Local

Response Deadline11/23/2026, 05:00:00 AM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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This subcontract for Lead Educational Research and Data Analysis Services involves performing core scientific evaluations for prime contractors on State University of New York higher education projects. The primary objective is to conduct a quasi-experimental study utilizing Propensity Score Matching and longitudinal analysis of student-level data over a five-year period to measure the impact of wraparound supports on degree completion. The selected provider must utilize secure data environments and professional statistical software such as STATA, R, SPSS, or SAS to deliver comprehensive research reports. This opportunity falls under NAICS code 541720, with a response deadline of November 23, 2026.

General Info

Subcontract for SUNY educational research and data analysis services due November 23, 2026.

Agency

State University of New York (SUNY)

NAICS

541720 - Research and Development in the Social Sciences and Humanities

Place of Performance

NY, USA

Set-Aside

NONE

Documents

This scope was carved out of 2140157.

The full solicitation package (4 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

ASAP ACE Study

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Timeline

PostedOct 22

subcontract

Response DeadlineNov 23

Submission deadline

Response Deadline

11/23/2026, 05:00:00 AM UTCin about 1 month

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Organization & Contact Information

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AgencyState University of New York (SUNY)

ContactsNo contacts available

OfficeN/A

Organization / AgencyState University of New York (SUNY)

Office AddressN/A

ContactsNo contact information available

Full Description

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Performs core scientific evaluation for prime contractors on State University of New York (SUNY) higher education projects. Conducts a quasi-experimental study using Propensity Score Matching (PSM) and longitudinal analysis of student-level data over five years to determine the impact of wraparound supports on degree completion. Requires statistical software (STATA, R, SPSS, or SAS) and secure data environments. Delivers comprehensive research reports.

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