While correlated data methods (like random effect models and generalized estimating equations) are commonly applied in practice, students may struggle with understanding the reasons that standard regression techniques fail if applied to correlated outcomes. To this end, this article presents an in-class activity using results from Monte Carlo…

Whether selection processes contribute to group-level disparities or merely reflect pre-existing inequalities is an important societal question. In the context of observational data, researchers, concerned about omitted-variable bias, assess selection-contributing inequality via a kitchen-sink approach, comparing selection outcomes of…

Noncredit community college enrollment accounts for approximately 40% of all enrollment in the two-year sector, or five million students (American Association of Community Colleges, 2016). Yet, this population is seldom discussed in the higher education literature due to inconsistent definitions, funding, and data reporting at the state level.…

Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL…

Several studies have focused on identifying the significant behavioral predictors of learning performances in web-based courses by examining the log data variables of learning management systems, including time spent on lectures, the number of assignments submitted, and so forth. However, such studies fail to quantify the impact of emotional,…

This study examines whether principals' movements and school achievement are associated with their salaries. Predictors of principal salaries were examined using three years of panel data. Results from a fixed-effects regression analysis suggest that principals who moved to school leadership positions in other districts leveraged higher salaries…

The aim of this study was to examine the relationship between teacher candidates' individual values and leadership orientations. The participants of the study were a total of 452 teacher candidates studying in the pedagogical formation program of Karabük University in the 2016-2017 academic year. The Leadership Orientations Scale and Portrait…

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…

This study compared the direct, indirect, and total effects of information, communication, and technology (ICT) variables on math achievement for second-generation immigrant, first-generation immigrant, and nonimmigrant students. A path model was used to analyze U.S. nationally representative data from the Program for International Student…

This quantitative, correlational study used learning analytics to examine correlations between predictor variables (student-content, student-instructor, and student-system interactions) and criterion variable (student-student interactions) and to determine if the four predictor variables were significant predictors of grades in graduate students…

Between 1983 and 1993, grade 7/8 to grade 12 apparent retention rates more than doubled and secondary schools developed vocational education and training (VET) programmes as alternative pathways through secondary school. Previous research indicates that participation in VET programmes is associated with having low-educated parents and/or attending…

We utilized data from a multi-institutional longitudinal study to investigate the association between diversity-related coursework and moral development among students over 4 years of college. Our findings parallel the prior research, which support the positive effects of diversity on college students, by offering new evidence that diversity…

This study conducted secondary analysis of data from the National Longitudinal Transition Study-2 (NLTS2) to examine the degree to which student, family, and school constructs predicted self-determination outcomes. Multi-group structural equation modeling was used to examine predictive relationships between 5 student, 4 family, and 7 school…

This study conducted secondary analysis of data from the National Longitudinal Transition Study-2 (NLTS2) to examine the degree to which student, family, and school constructs predicted self-determination outcomes. Multi-group structural equation modeling was used to examine predictive relationships between 5 students, 4 family, and 7 school…

This study built on prior research regarding the effectiveness of the National Center for Research in Early Childhood Education (NCRECE) course by exploring the individual course components. Core aspects of course engagement and performance were described and examined in relation to improvements in the observed quality of teacher-child…