Unit nonresponse in panel data sets is often a source of bias. Why certain individuals attrite from longitudinal studies and how to minimize this phenomenon have been examined by researchers. However, this research has typically focused on data sets collected via telephone, postal mail, or face-to-face interviews. Moreover, this research usually…

The ubiquity of data in various forms has fueled the need for advanced data-mining techniques within organizations. The advent of data mining methods used to uncover hidden nuggets of information buried within large data sets has also fueled the need for determining how these unique projects can be successful. There are many challenges associated…

There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

Cybersecurity threats confront the United States on a daily basis, making them one of the major national security challenges. One approach to meeting these challenges is to improve user cybersecurity behavior. End user security behavior hinges on end user acceptance and use of the protective information technologies such as anti-virus and…

This paper explores how factors operating at the state and community levels are associated with the prevalence of late school enrolment in Nigeria. We investigate the following three research themes. First, whether late entry varies across states and across communities and how much of this variation can be explained by the composition of…

The goal of this study was to examine the reciprocal relationship between statistical investigation and motivation of college students in a Mathematical Reasoning course (Math 1). Unlike previous studies in which students' projects or statistical investigations have been examined as the final product that shows evidence of statistical…

The purpose of this study was to investigate the extent to which professional development predicts principals' instructional leadership in order to identify whether a relationship exists between the duration of principals' participation in distinct professional development activities and their perceived practice of instructional leadership while…

Extensive research has conclusively demonstrated that children's social class is one of the most significant predictors--if not the single most significant predictor--of their educational success. This three-part study combines a statistical analysis of early skills gaps among a recent cohort of children and changes in them over time with a…

The objective of this study is to investigate the factors influencing the integration of ICT of starting teachers in lower secondary schools in the Turkish context. Both quantitative and qualitative research was implemented for this objective. The participants were selected according to a stratified two-stage sampling design. That is, they were…

This research employs novel techniques to examine older learners' journeys, educationally and physically, in order to gain a "three-dimensional" picture of lifelong learning in the modern urban context of Glasgow. The data offers preliminary analyses of an ongoing 1,500 household survey by the Urban Big Data Centre (UBDC). A sample of…

This study compares the relationship between official crime rates in census tracts and resident perceptions of crime. Using a unique data set that links household-level data from the American Housing Survey metro samples over 25 years (1976-1999) with official crime rate data for census tracts in selected cities during selected years, this study…

Digital skills are increasingly important for labour market outcomes and social participation. Do they also matter for academic performance? This paper investigates the effects of digital literacy on educational outcomes by merging data from the Italian National Assessment in secondary schools with an original data-set on performance tests of…

Making decisions to undergo Autism Spectrum Disorders (ASD) genetic testing can be challenging. It is important to understand how the perceptions of affected individuals might influence testing decision-making. Although evidence has shown that psychological factors are important in predicting testing decisions, affect-type variables have been…

In this analysis of extant data from 3,011 schools implementing school-wide positive behavioral interventions and supports (SWPBIS) across multiple years, we assessed the predictive power of various school characteristics and speed of initial implementation on sustained fidelity of implementation of SWPBIS at 1, 3, and 5 years. In addition, we…