In a clustered observational study, a treatment is assigned to groups and all units within the group are exposed to the treatment. We develop a new method for statistical adjustment in clustered observational studies using approximate balancing weights, a generalization of inverse propensity score weights that solve a convex optimization problem…

We used data simulations to test whether composites consisting of cohesive subtest scores are more accurate than composites consisting of divergent subtest scores. We demonstrate that when multivariate normality holds, divergent and cohesive scores are equally accurate. Furthermore, excluding divergent scores results in biased estimates of…

The aim of this paper is to provide an introduction of new imputation algorithms for estimating missing values from official statistics in larger data sets of data pre-processing, or outliers. The goal is to propose a new algorithm called IRMI (iterative robust model-based imputation). This algorithm is able to deal with all challenges like…

Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…

Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning…

The recent significant increase in student loan delinquencies has generated interest in understanding the key factors predicting the non-performance of these loans. However, despite the large size of the student loan market, existing analyses have been limited by lack of data. This paper studies predictors of student loan delinquencies using a…

Understanding the role of social policies in intergenerational transfers from old to young people is especially important in times of population aging. This paper focuses on the influences of social expenditures and social services on financial support and on practical help from older parents to their adult children based on the first two waves…

The National Center for Educational Statistics, in conjunction with the U.S. Department of Education, compiles statistical data for U.S. schools. As charts indicate, in 2001, it reported that nationwide, 76% of high-income graduates immediately enroll in colleges or trade schools. However, only 49% of Hispanic and 59% of African Americans enroll…

Background. Although the evidence in support of the variability of students' learning strategies has expanded in recent years, less is known about the explanatory base of these individual differences in terms of the joint Influences of personal and contextual characteristics. Aims. Previous studies have often investigated how student learning is…

Objective: In many countries, physical education (PE) is taught by classroom teachers (generalists) during the formative years of elementary school. The purpose of this study was to evaluate the physical and psychological outcomes of multi-sports PE taught by qualified PE teachers (specialists) and how they contribute to children's physical and…

Some pupils already show unexcused, illegal, surreptitious absences in elementary education or the first years of secondary education. Are weak social bonds (see also Hirschi, 1969) and a lack of self-control (Gottfredson & Hirschi, 1990) indicative of truancy at an early age? Of the children in our sample, 5% were persistent truants in late…

Purpose: The main aim of this paper is to test the ways in which the role of high-technology services (HTS) in the economy of European Union (EU) member countries changes and the extent to which the development of HTS depends on the quality of human resources. Design/methodology/approach: The paper adopts comparative and cluster analysis of…

Compared to traditional classification methods, developing a peer group using the National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data Systems (IPEDS) data allows institutions to add comparative dimensions, to update the peer group, and to track changes at peer institutions over time. Peer selection and…

This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…

Today's health sciences educational programmes have to deal with a growing and changing amount of knowledge. It is becoming increasingly important for students to be able to use and manage knowledge. We suggest incorporating open-book tests in assessment programmes to meet these changes. This view on the use of open-book tests is discussed and the…