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Resource | Research and Data | Assessing/Improving Operations CACFP Family Day Care Homes Meal Claims Feasibility Study

The aim of this IPERA compliance reporting feasibility study is to develop a reliable method of assessment of erroneous meal claims in CACFP-Family Day Care Homes, test the method on a sample of FDCHs for the purpose of estimating the rate of improper payments and provide annual estimates of erroneous payments. Specifically, the study focuses on accurately estimating meals that are claimed but not served.

09/01/2020
Resource | Research and Data | Assessing/Improving Operations Assessment of the Administrative Review Process in School Meal Programs

The Administrative Review is the process state agencies use to assess compliance with federal requirements of SFAs participating in the National School Lunch Program and the School Breakfast Program. This study assesses the AR process by examining the results from a purposive sample of ARs. The study also describes in-depth how nine selected state agencies conduct their ARs, and ways the process could be further improved.

08/25/2020
Resource | Research and Data | Assessing/Improving Operations Assessing the Child Nutrition State Administrative Expense Formula

FNS provides state administrative expense (SAE) funds to state agencies to support administration and oversight of federal child nutrition programs in their state. This study examines the formula used for allocations of SAE funds, identifies factors that influence state agency spending, and presents a series of options for consideration to potentially improve SAE allocations and procedures.

08/25/2020
Resource | Research and Data | Assessing/Improving Operations Assessment of States' Use of Computer Matching Protocols in SNAP

As required by federal law, state SNAP agencies verify financial and non-financial information by matching SNAP applicant and participant information to various national and state data sources to ensure they meet the program’s eligibility criteria. Data matching is an important tool for ensuring program integrity and benefit accuracy. However,  information on states’ data matching practices and protocols is limited. This study was undertaken to address this knowledge gap.

08/11/2020
Page updated: November 15, 2024