Large swaths of data are readily available in various fields, and education is no exception. In tandem, the impetus to derive meaningful insights from data gains urgency. Recent advances in deep learning, particularly in the area of voice and image recognition and so-called complete knowledge games like chess, go, and StarCraft, have resulted in a…

This article studies the relationship between the socioeconomic conditions of higher education students in Colombia and their academic performance during the pandemic. The household's socioeconomic conditions are approximated by the education level of the parents, their occupation and the possession of assets. A multiple regression model tests the…

This study examined the nexus between institutional training and development and employee performance from private universities in Ghana using Principal Components Regression (PCR). The study employed exploratory design through the quantitative and cross-sectional survey methods for data collection. The questionnaires were administered 384…

Nontraditional students pursuing an advanced degree face unique challenges as compared to full-time traditional students. Current and former masters and PhD students (N = 266) were surveyed to examine differences in their educational experiences and emotional outcomes, and determinants of their positive and negative graduate education experiences.…

Background/Context: Observational studies often employ regression discontinuity (RD) designs and multiple control-group designs to explore the causal quantities of interest. RD designs assess policy and program effectiveness by assigning subjects to treatment based on whether they exceed a pre-defined cutoff. RD designs are classified into two…

There is an increasing concern for self-care and quality of life among Master of Social Work (MSW) students as they prepare to serve vulnerable individuals, families, and communities. Evidence suggests numerous benefits to practicing self-care; however, the majority of these studies focus on practitioners in the helping professions as opposed to…

In the November 2016 U.S. presidential election, many state level public opinion polls, particularly in the Upper Midwest, incorrectly predicted the winning candidate. One leading explanation for this polling miss is that the precipitous decline in traditional polling response rates led to greater reliance on statistical methods to adjust for the…

This study examined school principals' instructional leadership as a predictor of teachers' motivation. The sample included 306 elementary school teachers. The study took place in the western Black Sea region of Turkey. Data collection tools included two instruments: the Instructional Leadership Scale (ILS) and the Teacher Motivation Scale (TMS).…

Policymakers and institutional leaders in higher education too often make decisions based on descriptive data analyses or even anecdote when better analysis options could produce more nuanced and more valuable results. Employing the setting of higher education program evaluation at a midwestern regional public university, for this study we…

The Karlson-Holm-Breen (KHB) method has rapidly become popular as a way of separating the impact of confounding from rescaling when comparing conditional and unconditional parameter estimates in nonlinear probability models such as the logit and probit. In this note, we show that the same estimates can be obtained in a somewhat different way to…

This study provides evidence about factors that facilitate the development of computational thinking (CT) in Costa Rican elementary school students, including the description of the contribution of the LIE++ proposal that addresses CT knowledge and practices through programming and physical computing projects. A quasi-experimental design was used…

Technology transfer to classes has become very important for teachers, regardless of their field. The purpose of this study is to determine how pre-service teachers with high and low level of technological selfefficacy beliefs are predicted by the independent variables. These variables are attitude towards technology, attitude towards…

The standard regression technique for modeling binary response variables in education research is logistic regression. The odds ratios from these models are used to quantify and communicate variable effects. These effects are sometimes pooled together as in a meta-analysis. We argue that this process is problematic as odds ratios calculated from…

Classification measures and entropy variants can be used as indicators of model fit for logistic regression. These measures rely on a cut-point, "c," to determine predicted group membership. While recommendations exist for determining the location of the cut-point, these methods are primarily anecdotal. The current study used Monte Carlo…

This study employed propensity score matching and regression analysis to determine whether or not a retention scholarship pilot program at a mid-size public research university was effective at increasing first-year retention. The scholarship pilot did not require any application process for students but rather used a predictive logistic…