Emily Myers (she/her) is a doctoral student in the Educational Leadership and Policy Studies program at NYU Steinhardt and a multi-year IES-PIRT Fellowship recipient. Her research interests include examining the effects of the recent spate of content restrictions and curricula bans in K-12 public schools in the United States, particularly as it relates to those working in and leading schools. Emily is also currently engaged in a project that examines the effects of within-year teacher turnover on family engagement in New York City elementary schools.
Emily previously served as a public-school principal in Philadelphia and prior to that, as a special education teacher in Philadelphia and New York City schools. Emily recently spent time in Germany where she taught at the University of Heidelberg. She currently consults with K-12 districts on special projects that affect student and faculty outcomes.
Emily earned her Master of Science degree from Fordham University in 2011 and her B.A. from the University of Rochester in 2009.
This course introduces students to basic statistical methods and their application to management, policy, and financial decision-making. The course covers the essential elements of descriptive statistics, univariate and bivariate statistical inference, and introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.