Presenter: Avi Feller, University of California - Berkeley 

Registration Open 

Registration Rates: Nonmembers ($50), Members ($25), Student members (FREE) 

Many important interventions and policy changes in education occur at an aggregate level, such as the level of the school, district, or state; prominent examples include school finance policies, curriculum development, and accountability changes. These policies are often difficult to evaluate experimentally, and education researchers instead rely on research designs based on repeated observations ("panel data") at the aggregate level. For example, we might estimate the impact of a new reading program using school-level average test scores at multiple time points surrounding its introduction. In this workshop, we will review the growing set of statistical tools for estimating causal effects with panel data of this form. We will first review common methods, such as difference-in-differences, fixed effects models, and Comparative Interrupted Times Series, as well as key conceptual issues, such as changes in measurement. We will then discuss complications that arise when treatment timing varies. Finally, we will briefly introduce some more recent methods that also incorporate matching and weighting. Throughout, we will use plenty of cartoons and bad jokes. 

 
Data Collection Methods for Cost-Effectiveness Analysis of Educational Interventions 
Tuesday, May 18, 2021, Noon-1:30 PM EDT 

Presenters: Rebecca Davis, University of Pennsylvania & Viviana Rodriguez, Columbia University 

Registration Open 

Registration Rates: Nonmembers ($50), Members ($25), Student members (FREE) 

The Center for Benefit Cost Studies in Education at the University of Pennsylvania is proud to partner with SREE to offer a webinar on data collection in cost analysis. Cost studies offer important context to effectiveness work and are increasingly being required by funders, yet the “how to” of cost estimation is still ambiguous to many researchers. This webinar will offer clarity on the data collection phase of the cost estimation process. Using the ingredients method (Levin, McEwan, Belfield, Bowden, & Shand, 2018), we will explore data collection methods useful to researchers hoping to include estimation of costs in their existing studies or in funding proposals. This workshop will cover how to develop a cost data collection plan, potential sources of data, and potential pitfalls to avoid. We will discuss how the integration of cost data collection with other study elements can be helpful in efficiently adding cost estimation to a larger study. A preliminary understanding of the ingredient’s method is recommended but not required, and a brief introduction will be provided. Additional materials will be shared to help participants successfully plan each phase of their cost analysis. 

May 3 – May 20: Fellowship applications accepted 

May 22 – May 26: Application review and semi-finalist selection 

June 1 – June 3: Interviews 

June 4: Final selection and notification 

June 15 – September 3: Fellows’ research period

Lindsay Page

This summer, Lindsay will transition from the University of Pittsburgh to Brown University to join the Education Department and the Annenberg Institute for School Reform as the Annenberg Associate Professor of Education Policy.

Heather McCambly

Heather is completing her PhD in Human Development and Social Policy at Northwestern University and has taken a position as an Assistant Professor of Critical Higher Education Policy at the University of Pittsburgh's School of Education in the Department of Educational Foundations, Organizations, and Policy.

Greg Duncan

Thank you to the presenters, organizers, and attendees who made the first Virtual Convening a success! 

Registered attendees may click here to access the recordings at any time.

Dates to Keep in Mind: SREE 2021 Conference Timeline

Institutional Member Corner: Insight Policy Research