Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…

Identifying effective literacy interventions for teachers of very young children is important, but it is not easy. In this case study, we share our experiences implementing a quasi-experimental evaluation of an early literacy program. We describe the design and context of the study and discuss three key issues that we encountered with data…

Shortly after we published "Addressing Flawed Research in Developmental Education" (2012) in the "Journal of Developmental Education," Thomas Bailey, Shanna Smith Jaggars, and Judith Scott- Clayton from the Community College Research Center (CCRC) wrote a response rebutting several of our claims. Though their response corrects…

This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…

The estimation of the "size of effect" of educational programs is a difficult problem in program evaluation. It is argued that the intentions of the program and the nature of the measures must be known in order to estimate program effects. (JKS)

Hypothesis generation and testing is outlined as an additional domain for program evaluators. Program evaluation involves a thorough analysis of the processes that contribute to change (or a lack of change) among program recipients. This process of change is analyzed in two ways: (1) treating programs as naturally occurring field studies; and (2)…

Educational outcomes are affected by student level, classroom level, and school level characteristics. The fact that educational data are multilevel in nature poses serious analysis questions. Though strong arguments can be made for focusing on a single level of analysis, such studies have several basic limitations: the choice of analytic level…

The General Accounting Office reviewed the Department of Labor's process for determining worker eligibility for the Trade Adjustment Assistance (TAA) program. TAA provides help in making the transition to new employment to workers certified by the Department of Labor as affected by imports. The program gives workers job counseling, occupational…

A persistent problem in aptitude-treatment interaction (ATI) research has been the need for a better conceptualization of instructional treatments. The concerns are important in the analysis of instructional treatments: the importance of considering the psychological processes called upon by the instructional treatment, and the ecological validity…

The purpose of this paper is to critically reflect upon the mixed/modest results of the primary studies related to the effectiveness of physical activity enhancement and improving nutritional intake in obesity prevention programs for children and youth. The results of a recent review of this topic that included 57 randomized controlled trials…

This paper explores the implications of government funding for postgraduate research in English universities. Specifically, it focuses upon the funding model introduced recently by the Higher Education Funding Council for England (HEFCE). The suggestion in the paper is that the operation of this model will seriously disadvantage certain parts of…

In 1990, Milwaukee (Wisconsin) became the site of the first publicly funded school-choice program providing low-income parents with vouchers that could be used to send their children to secular, private schools. An evaluation of Milwaukee's school-choice experiment was conducted by a team of researchers, headed by John Witte at the University of…

In August 1996 Jay P. Greene, Paul E. Peterson, and Jiangtao Du, with Leesa Boeger and Curtis L. Frazier, issued a report called "The Effectiveness of School Choice in Milwaukee." The report, referred to as GPDBF, presented data that indicated that low-income minority students in their third and fourth years of participation in the…

The Abt Associates' final report on the Follow-Through Planned Variation Experiment is defended against the critique published by a blue ribbon panel funded by the Ford Foundation. In contrast to the conclusions drawn by House, Glass, McLean, and Walker that Follow Through showed no "winners" or "losers", the National…