The Child Nutrition Program Operations Study II (CN-OPS II) is a multiyear study that provides FNS with information on current state agency and school food authority policies, practices, and needs related to school nutrition service operations, financial management, meal counting, training and professional standards, food service equipment, and technology. 

The Study of Food Safety Needs of Adult Day Care Centers in the Child and Adult Care Food Program report identified and evaluated food safety knowledge gaps and education needs of adult day care center program operators. Overall, this study provides information on knowledge gaps related to food safety practices in adult day care centers and illuminates the best way for center staff to receive future food safety training and information support.

This study provides current information on adoption of scanning technology among small SNAP-authorized retailers to assess readiness for meeting the Farm Bill requirement, barriers and benefits to adopting scanning technologies, and costs for nonadopting retailers to comply with this requirement.

FNS conducted a study of the first two years of this demonstration to describe the implementation process and explore the effects on certification, participation, federal reimbursements, and state administrative costs. This report presents the findings from the first year of the demonstration evaluation, school year 2016–17.

The Evaluation of the School Meal Data Collection Process study describes and evaluates the methodologies and processes used by schools, school food authorities and state agencies to collect and report data on three FNS forms used for the federal school meal programs: the Report of School Program Operations (FNS-10), the SFA Verification Collection Report (FNS-742), and the State Agency Direct Certification Rate Data Element Report (FNS-834). In addition to describing the processes, the study identifies potential sources of error when completing the three forms and provides useful practices and recommendations for improving data collection processes.

This report describes the feasibility of a modeling approach to forecast tiering error rates based on prior data, in lieu of annual assessments of misclassified FDCHs. It presents estimates for forecasted rates and associated improper payments for FDCHs for each fiscal year (FY) from 2016 to 2020. Due to data limitations, the report concludes that building a reliable model is not possible with the currently available data and estimates produced by the models cannot be used for IPERIA reporting.

To ensure program integrity, school districts must sample household applications certified for free or reduced-price meals, contact the households, and verify eligibility. This process (known as household verification) can be burdensome for both school officials and households. Direct verification uses information from certain other means-tested programs to verify eligibility without contacting applicants. Potential benefits include: less burden for households, less work for school officials, and fewer students with school meal benefits terminated because of nonresponse to verification requests.

This is a report of the National Academies' National Research Council, Committee on National Statistics. It is available here by permission. It may also be obtained through the National Research Council's website. An earlier, prepublication version was made available in May 2010, but should no longer be used.

This study describes the results of intensive site visits that were made in spring 2009 to 14 states with SNAP modernization activities.

The third School Nutrition Dietary Assessment Study provides the most comprehensive measurement available of: (a) the nutritional quality of reimbursable meals served in the National School Lunch and Breakfast programs, (b) the nutritional quality of the breakfasts and lunches consumed by children who participate in these programs, and (c) student participation rates. The study data enable analyses of school meal policies that were not previously possible. This report describes exploratory work to develop a simulation model to predict the potential implications of changes that may be coming in policies and practices related to school meals and school food environments.