activity
20072017
most citedEfficient Maximum Likelihood Estimation of Multiple Membership Linear Mixed Models, with an Application to Educational Value-Added Assessments

12 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2017★ 10 cited

A Correlated Random Effects Model for Nonignorable Missing Data in Value-Added Assessment of Teacher Effects

Andrew T. Karl, Yan Yang, Sharon L. Lohr

Value-added models have been widely used to assess the contributions of individual teachers and schools to students' academic growth based on longitudinal student achievement outco…

stat.CO2014★ 11 cited

Computation of Maximum Likelihood Estimates for Multiresponse Generalized Linear Mixed Models with Non-nested, Correlated Random Effects

Andrew T. Karl, Yan Yang, Sharon L. Lohr

Estimation of generalized linear mixed models (GLMMs) with non-nested random effects structures requires approximation of high-dimensional integrals. Many existing methods are tail…

stat.AP2014★ 12 cited

Efficient Maximum Likelihood Estimation of Multiple Membership Linear Mixed Models, with an Application to Educational Value-Added Assessments

Andrew T. Karl, Yan Yang, Sharon L. Lohr

The generalized persistence (GP) model, developed in the context of estimating ``value added'' by individual teachers to their students' current and future test scores, is one of t…

stat.AP2008★ 1 cited

Experimental designs for multiple-level responses, with application to a large-scale educational intervention

Brenda Jenney, Sharon Lohr

Educational research often studies subjects that are in naturally clustered groups of classrooms or schools. When designing a randomized experiment to evaluate an intervention dire…

stat.ME2007★ 9 cited

Comment: Struggles with Survey Weighting and Regression Modeling

Sharon L. Lohr

Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]