Advances in Skin Color Measurement: Reliability, Validity, and Feasibility of Portable Devices for Field Research in the Social, Behavioral, and Economic Sciences
This project advances the measurement of skin color in survey field research by determining whether a new generation of portable devices for color measurement are practically feasible and scientifically sound for large-scale field-based survey research. The project also seeks to better understand how physical measures of skin color compare to widely-used interviewer-coded skin color scales.
“Equity-Focused Policy Research Building Evidence on Nutrition Supports for Low-Income Families with Young Children” program to study Contributions of CACFP Program Rules and Sponsor Roles to Rural-Urban Inequities: A Participatory Approach using Primary and Secondary Data
A mixed-methods study of geographic inequities in access to food subsidies in family child care (the Child & Adult Care Food [CACFP] programs) using a participatory citizen-science approach to convening a community advisory board of CACFP sponsor leadership and employees and combining analyses of administrative data with semi-structured interviews.
Harmonizing Two NICHD-funded Datasets to Study Youths’ Behavioral Health
This project expanded two public-use datasets in innovative ways by placing measures of youths’ behavioral health on a common metric both between datasets and across subgroups within datasets, by harmonizing the subgroup variables as well as key design variables, by demonstrating the utility of the linked scores in comparison to the original raw scores, and by creating a crosswalk of variables needed for high-priority research questions using the linked scores.
Predictors of Achievement from Early Childhood to Adulthood
This project significantly contributed to the growing body of research on physical attractiveness as a source of social stratification with wide implications for health, akin to more frequently studied factors like race and gender. The project created and analyzed the largest-ever public repository of physical attractiveness ratings for a cohort from birth into young adulthood.
Measuring Preschool Program Quality: Multiple Aspects of the Validity of Two Widely-Used Measures
This project examined two widely used measures of quality, the ECERS-R and CLASS, including their structural validity (dimensionality of each scale), response process validity (order, fit and separation of items along underlying dimensions), and predictive validity specific to cutoffs defined in policy system (Quality Rating and Information Systems; Head Start Recompetition). The project studied these aspects of validity across a dozen datasets, using meta-analyses to systematically accumulate results.
Domain-Specific Child Care Quality and Child Health, Cognition and Behavior:
The major goal of this project was to examine the association between child care quality and child cognitive, behavioral and health outcomes focusing on new domain-specific (cognition, behavior, health) measures of quality. The study used four longitudinal data sets to establish new measures of quality and to examine patterns and changes in the quality of care settings used from infancy through preschool, including transitions among maternal care and family day care and child care centers of varying quality, and how these trajectories in the quality of these care settings relate to child outcomes, within domains of development.
Specific Aspects of Quality that Support Children's School Readiness in Community-Based and School-Based Early Childhood Programs
The major goal of this project was to examine the association between quality of preschool classrooms and child health, behavioral and cognitive outcomes in community-based and school-based early care and education programs. The project combined rigorous psychometric analyses of existing measures of preschool classrooms with regression analyses associating quality to child outcomes, within domains.
Rachel Gordon, Ph.D.
College of Health and Human Sciences
Wirtz Hall 227
815-753-1891
rgordon@niu.edu