Population adjustment methods such as matching-adjusted indirect comparison (MAIC) are increasingly used to compare marginal treatment effects when there are cross-trial differences in effect modifiers and limited patient-level data. MAIC is based on propensity score weighting, which is sensitive to poor covariate overlap and cannot extrapolate…

Regression discontinuity design (RD) has been widely used to produce reliable causal estimates. Researchers have validated the accuracy of RD design using within study comparisons (Cook, Shadish & Wong, 2008; Cook & Steiner, 2010; Shadish et al, 2011). Within study comparisons examines the validity of a quasi-experiment by comparing its…

This paper discusses methods for benchmarking vocational education and training colleges and presents results from a number of models. It is conceptually difficult to benchmark vocational colleges. The colleges typically offer a wide range of course programmes, and the students come from different socioeconomic backgrounds. We solve the…

Using data from a random sample of first-year students in the 2009 National Survey of Student Engagement (NSSE), we compared engagement in educationally purposeful activities in college, a set of educational outcomes, and the relationship between student engagement and educational outcomes for nonathletes and student-athletes participating in low-…

Regression methods can locate student test scores in a conditional distribution, given past scores. This article contrasts and clarifies two approaches to describing these locations in terms of readily interpretable percentile ranks or "conditional status percentile ranks." The first is Betebenner's quantile regression approach that results in…

This study investigated how performance on reading curriculum-based measurement (R-CBM) in Spanish is related to performance on R-CBM in English. Parallel process growth models and quantile regression analyses were used to examine the relations between initial benchmark scores and growth and the consistency of the relations across student reading…

A growing body of research provides evidence that quality early childhood experiences can affect a host of life outcomes. Equally well documented is the variation in the quality of prekindergarten programs (pre-K) offered to children. In this study I employ a fuzzy regression discontinuity approach to evaluate the efficacy of Transitional…

Policy-makers are frequently interested in understanding how effective a particular intervention may be for a specific (and often broad) population. In many fields, particularly education and social welfare, the ideal form of these evaluations is a large-scale randomized experiment. Recent research has highlighted that sites in these large-scale…

This paper compares access to full-time undergraduate higher education (HE) by members of less advantaged social classes and ethnic minorities across the four "home countries" of the UK. It uses data on applicants to HE in selected years from 1996 to 2010. In all home countries students from intermediate and working-class backgrounds…

The goal of this paper is to provide guidance for applied education researchers in using multi-level data to study the effects of interventions implemented at the school level. Two primary approaches are currently employed in observational studies of the effect of school-level interventions. One approach employs intact school matching: matching…

This study examines the relationship between student engagement, student satisfaction, and the academic success of international and American students using 2008 National Survey of Student Engagement (NSSE) data. It was found that international students scored slightly higher than American students on enriching educational experiences and…

This quantitative study reviews the impact on student achievement following professional development on the principles of formative assessment. The study compared mathematics and reading performance data from student populations with teachers who received training in formative assessment to performance data from student populations with teachers…

The sharp regression discontinuity design (RDD) has three key weaknesses compared to the randomized clinical trial (RCT). It has lower statistical power, it is more dependent on statistical modeling assumptions, and its treatment effect estimates are limited to the narrow subpopulation of cases immediately around the cutoff, which is rarely of…

This study addresses missing links in "college for all" debates by investigating gaps between actual and desirable math achievement trajectories for students' college readiness. Linking multiple national data sets across P-16 education levels, the study estimates college readiness benchmarks separately for two-year and four-year college…

Concern over worldwide literacy rates prompted the United Nations to establish the UN Literacy Decade (2003-2012) with one area of focus being to provide support to schools to develop effective literacy programs (UNESCO, 2005). This study addressed the area of providing support to schools to develop effective literacy programs by exploring the…