Alison Ng joined Philliber Research and Evaluation in 2019. Before joining Philliber, Alison was an English Language Teacher and AmeriCorps member working to increase literacy for refugee families. She also led a support and outreach program for military families and has a variety of experience working with teens. She holds an MS in Public Policy from NYU Robert F. Wagner Graduate School of Public Service and a BA in International Relations from SUNY New Paltz.
Alison has experience with applied data analytics for social science and advanced quantitative analysis. She conducts literature reviews, cleans large databases, and works closely with program staff to develop comprehensive reports. Alison is able to complete complex data analysis in STATA and Excel, create data visualizations, provide effective project management oversight, develop data collection strategies, and complete qualitative and quantitative data analysis. One of her continued goals has been to use sound evaluation and data analysis practices to improve public service delivery, organization, and policy.
KEY OR RECENT PROJECTS
Girls Inc. NYC is an interdisciplinary female empowerment program in New York City. For this multi-site evaluation, we designed survey instruments, trained data collectors, and conducted focus groups with students and program staff. Philliber documents changes in social-emotional competencies, academic outcomes, risk-taking behavior, and program satisfaction.
Fairfield County’s Community Foundation’s Family Economic Security Program is funded by the Fairfield County’s Community Foundation’s Fund for Women & Girls. This is a holistic coaching model program for low-income students pursuing certificates and Associate’s degrees at Housatonic Community College in Bridgeport, CT. The research design is primarily descriptive, capturing changes in program implementation and outcomes over time. This program is currently being replicated at Gateway Community College and was featured as a finalist for the prestigious Bellwether Award in 2019.
Dramatic Results – For a grant from the US DOE (AAEDD 2018-2022), we are evaluating the development of a Science, Technology, Engineering, Arts, and Math (STEAM) ecosystem to serve low-income gifted middle school students in Long Beach. This is also designed as a randomized control trial, which will compare all gifted students in six Title I program middle schools with an equivalent group in six control schools. The outcomes to be measured in this grant include maintenance of placement in advanced math courses through middle school, social emotional outcomes, and 21st century skills.