The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on…

This report describes the findings from a new study of the teacher selection process in Washington, DC public schools. In 2009, the district created a centralized application process to streamline hiring by screening out less desirable candidates. Following the collection of standard information, applicants are asked to complete up to three…

There is a pervasive need for school systems to empirically and reliably assess the data literacy and data use skills of their educators (Ingram et al., 2004). With the federal government holding states and school districts accountable for student achievement and the increased emphasis of high stakes testing in schools, it is also critical to be…

This study investigated the extent to which personal factors relate to the utilization of development information in the rural communities of South-South Geo-political Zone, Nigeria. The study adopted the descriptive survey design. The population comprised all adult male and female rural dwellers from the three out of the six states in the Zone…

In the quest to improve measured educational outcomes national governments across the The Organisation for Economic Co-operation and Development (OECD) and beyond have instituted large-scale assessment (LSA) policies in their public schools. Controversy almost universally follows the implementation of such testing, related to such topics as: a)…

If school choice programs are to provide any degree of equitable access to educational opportunities, then useful information about academic quality needs to be available to all participants, not just those who hob knob with the school board members or chat with the superintendent over the backyard fence. This study draws upon a unique data set to…

This study uses three cohorts of first-time, full-time undergraduate students (N = 8,652) at a large, metropolitan, public research university to examine the impact of student use of three library resources (workstations, study rooms, and research clinics) on academic performance. To deal with self-selection bias and estimate this impact more…

This brief describes how to use a free online behavior screener to identify student support needs in middle and high schools. Inclusive Behavior Instruction utilizes data to identify appropriate social-emotional supports for all students. The Lane et al. (2016) study demonstrated system-wide use of a free online behavior screener at the middle and…

Three university ranking systems in vogue have been shown in the previous issue of "Higher Education Review" to be capable of modifications to make them more parsimonious by using only about half of the number of predictors currently in use. This makes some of the predictors "redundant" as they contributed little to the overall ranking. It is…

This study identified the variables associated with data-driven instruction (DDI) that are perceived to best predict student achievement. Of the DDI variables discussed in the literature, 51 of them had a sufficient enough research base to warrant statistical analysis. Of them, 26 were statistically significant. Multiple regression and an…

In this study, we examined relationships between the use of test results and US students' math, reading, and science performance in the Programme for International Student Assessment (PISA) 2009. Based on a literature review, we hypothesized that the 16 items in the PISA school questionnaire, which are related to the use of test results, can be…

The authors use data known at the time of initial enrollment to explore the first-year GPAs and second-year retention of first-generation (FGCS) and non-first-generation (non-FGCS) college students. The setting was a diverse, public, urban doctoral institution (approximately 50% FGCS and 30% minority). Multiple linear and logistic regressions run…

The Common Core of Data (CCD) nonfiscal surveys consist of data submitted annually to the National Center for Education Statistics (NCES) by state education agencies (SEAs) in the 50 states, the District of Columbia, Puerto Rico, the four U.S. Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin…

This article addresses an issue that has not been well explored in empirical research, namely whether local education agencies (districts) have an impact on student learning. We assumed that local district effects on learning would be largely indirect, mediated by how teachers work together in schools (in professional communities) and the quality…

A popular taxonomy for categorizing outcomes of training is the four-level model formulated by Kirkpatrick (1959). The first level in the model consists of reactions to training. Kirkpatrick recognized only affective reactions, but more recent reformulations of the model posit other types of reactions, including utility and perceptions of…