The partial correlation coefficient quantifies the relationship between two variables while taking into account the effect of one or multiple control variables. Researchers often want to synthesize partial correlation coefficients in a meta-analysis since these can be readily computed based on the reported results of a linear regression analysis.…

Factor score regression has recently received growing interest as an alternative for structural equation modeling. However, many applications are left without guidance because of the focus on normally distributed outcomes in the literature. We perform a simulation study to examine how a selection of factor scoring methods compare when estimating…

Causal analyses typically focus on average treatment effects. Yet for substantive research on topics like inequality, interest extends to treatments' distributional consequences. When individuals differ in their responses to treatment, three types of inequality may result. Treatment may shape inequalities between subgroups defined by pretreatment…

Ordinary least squares (OLS) regression provides optimal linear predictions of a dependent variable, y, given an independent variable, x, but OLS regressions are not symmetric or reversible. In order to get optimal linear predictions of x given y, a separate OLS regression in that direction would be needed. This report provides a least squares…

Publication bias threatens meta-analysis validity. It is often assessed via the funnel plot; an asymmetric plot implies small-study effects, and publication bias is one cause of the asymmetry. Egger's regression test is a widely used tool to quantitatively assess such asymmetry. It examines the association between the observed effect sizes and…

In several sporting events, the winner is chosen on the basis of a subjective score. These sports include gymnastics, ice skating, and diving. Unlike for other subjectively judged sports, diving competitions consist of multiple rounds in quick succession on the same apparatus. These multiple rounds lead to an extra layer of complexity in the data,…

Women education and empowerment are the indicators of development. Women education ensures the holistic and long development. It includes equitable and increased access to technical and vocational education and training, higher education and research with due attention to quality assurance. This communication has taken a look on women…

The purpose of this study was to examine the associations between disability, victims, perpetrators, and so-called "bully-victims" (someone reporting being both a victim and a perpetrator) of traditional, cyber, or combined victimization or perpetration and psychosomatic health among adolescents. Authors analyzed cross-sectional data…

At a time when the national conversation is focused on lagging upward mobility, it is no surprise that many educators point to poverty as the explanation for mediocre test scores among U.S. students compared to those of students in other countries. If American teachers in struggling U.S. schools taught in Finland, says Finnish educator Pasi…

Ageing populations and accelerating economic change make it increasingly important to update the skill levels of populations over the whole life course. Adult education is believed to allow adults' skills to adapt continuously to constantly changing economic requirements. Both research into adult education, and discussions on lifelong learning…

Student login data is a key resource for gaining insight into their learning experience. However, the scale and the complexity of this data necessitate a thorough exploration to identify potential actionable insights, thus rendering it less valuable compared to student achievement data. To compensate for the underestimation of login data…

In this paper, we report findings on the contemporary idea of a university as defined by the relative importance of teaching, research, service, and collegiality in teaching-intensive universities. We also investigate Boyer's model of scholarship relative to the research--teaching--service nexus. Our findings show that while research is embraced…

Directional dependency is a method to determine the likely causal direction of effect between two variables. This article aims to critique and improve upon the use of directional dependency as a technique to infer causal associations. We comment on several issues raised by von Eye and DeShon (2012), including: encouraging the use of the signs of…

In line with the Lisbon Agenda, set by the European Council in the year 2000, European governments formulated ambitious plans to halve the level of early school-leavers by 2012. This paper outlines the dropout prevention measures in the Netherlands and analyzes their influence at both the individual and school level. While most policy measures…

Despite previous articles dating back 80 years, the questions of whether and when to square correlations continue to puzzle and confuse researchers. In this editorial, I point out that correlations can serve two independent purposes: they can be measures of effect size in themselves and their function as regression coefficients can be used to…