Background: This paper develops a new method to estimate quasi-experimental evaluation models when it is necessary to control for measurement error in predictors and individual assignment to the treatment group is based on these same fallible variables. A major methodological finding of the study is that standard methods of estimating models that…

Students' academic achievement is a central predictor of a long list of important educational outcomes, such as access to higher education and socioeconomic success. Prior studies have extensively focused on identifying variables that are related to academic achievement and an important variable in this context appears to be students' personality.…

Value-added (VA) modeling can be used to quantify teacher and school effectiveness by estimating the effect of pedagogical actions on students' achievement. It is gaining increasing importance in educational evaluation, teacher accountability, and high-stakes decisions. We analyzed 370 empirical studies on VA modeling, focusing on modeling and…

Purpose: Narrative assessment is one potentially underutilized and inconsistent method speech-language pathologists may use when considering a diagnosis of developmental language disorder (DLD). However, narration research encompasses many varied methodologies. This systematic review and meta-analysis aimed to (1) investigate how various narrative…

A hallmark of the US education system is the opportunity afforded to students to pursue education and career paths of their own choosing. This flexibility and autonomy, however, has drawbacks. Students must navigate a series of complex and often disconnected environments, as well as numerous decision points, before they attain a fulfilling career.…

Schools and school systems throughout the nation are increasingly experimenting with using various instructional technologies to improve productivity and decrease costs, but evidence on both the effectiveness and the costs of education technology is limited. A recent report published by the Thomas B. Fordham Institute sets out to describe "the…

Methods for ordering and selecting variables for discriminant analysis in multiple group comparison or group prediction studies include: univariate Fs, stepwise analysis, learning discriminant function (LDF) variable correlations, communalities, LDF standardized coefficients, and weighted standardized coefficients. Five indices based on distance,…

The shortcomings of current research on student attrition are reviewed, and ways are described in which multiple regression, path analysis, and a recursive causal model can be used to better understand attrition. A review of the research shows that past theoretical models lack an adequate definition of variables which have resulted in their being…

Suggests incorporating into practice those findings that emerge repeatedly in different foster care studies. Identifies four characteristics of children that have been linked to particular outcomes: age at time of placement, contact with biological family, length of time in care, and behavior problems. Shows how incorporation of these factors into…

The relationships among factors reported on report cards developed for local school districts in Tennessee and how they related to student outcomes were studied. The study revealed few, if any, straight-line relationships between inputs and outputs reported. Report cards are vastly overrated as indicators of educational quality. (SLD)