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…

In U.S. schools, Black and Latinx youth receive disciplinary action at rates greater than their White peers. In the context of systemic racism in the United States, proposed systemic solutions such as school-wide positive behavioral interventions and supports (SWPBIS) should be evaluated for their effectiveness in producing more equitable school…

The literature proposes numerous so-called pseudo-R[superscript 2] measures for evaluating "goodness of fit" in regression models with categorical dependent variables. Unlike ordinary least square-R[superscript 2], log-likelihood-based pseudo-R[superscript 2]s do not represent the proportion of explained variance but rather the…

Many education policies require estimating whether students in different grades are on track for achieving certain educational standards. One approach for constructing these cut scores is to estimate the values on tests that predict reaching targets on subsequent tests. Whether a student is deemed on target can affect the student's course…

Purpose: We examine the impact of advice given by extension agents to Ethiopian farmers, as perceived by the farmers themselves. Design/methodology/approach: Using survey data from 2014, we analyze the perceived impact of advice on farmers' incomes and crop yields. We use a bootstrapped instrumental variable (IV) estimator and the conditional…

A majority of high school graduates aspire to earn a college degree (ACT, 2016), yet many students are graduating from high school unprepared to do college-level work. As a result, about one-third of college freshmen enroll in at least one developmental course upon entry to college (Skomsvold, 2014). Because developmental courses are often not…

Randomized experiments are considered the gold standard for causal inference because they can provide unbiased estimates of treatment effects for the experimental participants. However, researchers and policymakers are often interested in using a specific experiment to inform decisions about other target populations. In education research,…

Objective: This study develops an analytical framework for identifying effective partnerships between 2- and 4-year institutions that enable community college entrants to transfer to a 4-year institution and earn a bachelor's degree in a timely fashion. Method: Using the individual term-by-term college enrollment and degree records from the…

The key purpose of educational welfare officers in England is to support students and parents to maximise educational opportunities for young people. However more is known about their role in relation to school attendance than in relation to pupils' educational outcomes. Using the Longitudinal Survey of Young People in England (LSYPE), this paper…

With the development of PC, internet as well as mobile devices, we are facing a data exploding era. On one hand, more and more features can be collected to describe the data, making the size of the data descriptor larger and larger. On the other hand, the number of data itself explodes and can be collected from multiple resources. When the data…

Predictive validity was explored between vocabulary matching (VM) probe scores and the "integrated" Louisiana Education Assessment Program (iLEAP) social studies standardized subtest score for 224 sixth-grade students across demographic categories from one rural southeastern Louisiana school district. Multiple Linear Regression (MLR)…

This research examined the extent to which benchmark assessments can be accurate forecasters of student performance on a state assessment in Algebra 1. The study applied correlational analysis, regression analysis, and receiver operator characteristic (ROC) analysis to the benchmark and state assessment results of a rural school district in…

This article addresses the important questions that higher education institutions ask concerning their impact on their students' sustainability-related attributes "How do our students" worldviews change as they experience higher education with us?" The process of monitoring such a dynamic entity is fraught with statistical…

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…