How can attention to kinship enhance the qualitative study of public services, such as schooling and health promotion? This question underscores several qualitative studies in which the authors have been involved, each engaging what we call the 'family sample' method summarized here. Involving research in Europe, Africa, North and South Americas,…

Purpose: This policy brief, the third in the AERI-NEPC eBrief series "Understanding validity issues around the world", discusses validity issues surrounding International Large Scale Assessment (ILSA) programs. ILSA programs, such as the well-known Programme of International Student Assessment (PISA) and the Trends in International…

Rapid advances in data-rich domains of science, technology, and business has amplified the computational challenges of "Big Data" synthesis necessary to slow the widening gap between the rate at which the data is being collected and analyzed for knowledge. This has led to the renewed need for efficient and accurate algorithms, framework,…

Large real-world graph (a.k.a network, relational) data are omnipresent, in online media, businesses, science, and the government. Analysis of these massive graphs is crucial, in order to extract descriptive and predictive knowledge with many commercial, medical, and environmental applications. In addition to its general structure, knowing what…

A variety of joint space multidimensional scaling (MDS) methods have been utilized for the spatial analysis of two- or three-way dominance data involving subjects' preferences, choices, considerations, intentions, etc. so as to provide a parsimonious spatial depiction of the underlying relevant dimensions, attributes, stimuli, and/or subjects'…

Despite Civil Rights legislation, racial inequality persists, especially in the context of poverty. This study advances the literature on racial inequality and the Southern legacy of slavery by examining slavery's relationship with inequality in poverty. I analyze county-level U.S. Census data using regression and spatial data analysis techniques.…

We propose functional multiple-set canonical correlation analysis for exploring associations among multiple sets of functions. The proposed method includes functional canonical correlation analysis as a special case when only two sets of functions are considered. As in classical multiple-set canonical correlation analysis, computationally, the…

This article reports on the development and implementation of the Student Success Program, a strategic, University-wide, consistent approach to increasing the success and retention of first year students, during 2014. To this end, a centrally coordinated process integrated historic student, application, enrolment, academic performance and learning…

English being a global language has become a vital element in all walks of life. The feelers of this language have left no sphere unmarked with its significance. Despite such a colossal tide for gaining command over the language it was found that the conventional pattern of teaching English language could not reap desired results. A comprehensive…

The phenomenon of low fertility has been negatively impacted on the social structure of the educational environment in Taiwan. To increase the learning effectiveness of students became the most important issue for the Universities in Taiwan. Due to the subjective judgment of evaluators and the attributes of influenced factors are always fuzzy, it…

The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…

This article focuses on an in-depth case study of Freedom University, a counterspace in Georgia to address the ban that prohibited students without legal status from applying to five selective colleges/universities. Based on interviews with eight Freedom University students, the authors demonstrate that Freedom University fulfills most of the…

Purpose: The purpose of this paper is to improve the understanding of psychological factors that influence inquiry-based leadership. This study investigates how affective attitude, experienced social pressure, and self-efficacy relate to aspects of inquiry-based school leadership. A school leader's inquiry habit of mind, data literacy, and the…

Social narratives (e.g., Social Stories™) are common antecedent-based interventions promoted for the purposes of improving prosocial behaviors and reducing challenging behavior for children with and without disabilities. Although they are commonly prescribed and used, their effectiveness has almost exclusively been assessed for children with…

The authors analyze survey data from four groups of children (urban children, migrant children, rural left-behind children, and ordinary rural children) to explore their social resource access with respect to educational resources, health resources, and family support. The study finds that urban children are advantaged in all three areas compared…