Mathematica conducted five-year studies of the 2006 and 2009 FACES cohorts, and, for the most recent study (2014-2018), redesigned FACES to provide key data more rapidly and with greater frequency and to help researchers examine more complex issues and topics in greater detail and efficiency.
How children and families fared in key areas when children were 3 years old.Read more
Mathematica evaluates programs designed to improve the well-being of young children and their families, particularly those at greatest risk in our society. The projects reviewed here illustrate the diversity of themes we address, the range of clients we serve, and the breadth of our early childhood and family research. Read more about our work in the early childhood area
Head Start: The Family and Child Experiences Survey (FACES)
Analysis of the Early Childhood Longitudinal Study: Kindergarten Class of 2010-2011
Mathematica analyzed baseline data from the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 to identify the knowledge and skills that children have when they first enter school.
Nicholas Beyler is an expert in sample design, analysis of complex survey data, random assignment procedures, measurement error adjustments, model-based analysis, systematic evidence reviews, and physical activity measurement.Featured ProjectsFeatured Publications
- The Impact of Playworks on Boys' and Girls' Physical Activity During Recess
- Predicting Objective Physical Activity from Self-Report Surveys: A Model Validation Study Using Estimated Generalized Least-Squares Regression
- Nutrition and Food Assistance Programs
- Statistics and Measurement
- Systematic Evidence Reviews
live in a household in which the primary language spoken to them is not English.