This study is evaluating the accuracy of the school meals benefit determination process nationwide by updating and expanding on work Mathematica completed in 2004.
- Large-scale school-based studies
- District and school recruiting
- Random assignment
- Complex sampling plans
- Nutrition and Food Assistance Programs
Eric Zeidman has expertise in large-scale school-based studies, including randomized controlled trials and cross-sectional and longitudinal designs. He is experienced in district and school recruiting, random assignment, and development and implementation of complex sampling plans.
Zeidman is survey director for two national studies of the National School Lunch Program and School Breakfast Program. He coordinates and leads the survey research effort to produce national estimates of erroneous payments made under these programs during the 2012–2013 school year. He has expertise in school-based data collection with a focus on school recruiting, random assignment, and sample construction.
Zeidman, who joined Mathematica in 2003, has published in the Journal of the American Dietetic Association and holds an Ed.M. in educational statistics, measurement, and evaluation from Rutgers University.
Ensuring the Integrity of the School Meals Application Process
Do Taxes on Sugar-Sweetened Beverages Help Reduce Child Obesity? A Look at Three Cities
This study is evaluating the implementation and impact of these taxes on sugar-sweetened beverages in Philadelphia and two other cities to be determined.
Estimating Improper Payments for School Meal Programs: Access, Participation, Eligibility, and Certification II (APEC)
Using data from school year 2012-2013, APEC-II produced updated estimates of improper payments, including for districts and schools participating in the Community Eligibility Provision.
Informing Policy for Child Nutrition Programs: Operations Study ll
This study provides descriptive information on the characteristics of the school-based child nutrition programs, data on various aspects of the program administration, as well as data to identify areas in need of technical assistance and training.