We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…

Based on the achievement goal theory, this experimental study explored the influence of predictive and descriptive learning analytics dashboards on graduate students' motivation and statistics anxiety in an online graduate-level statistics course. Participants were randomly assigned into one of three groups: (1) predictive dashboard; (2)…

This study investigates how youth from two cities in the United States engage in critical data practices as they learn about and take action in their lives and communities in relation to COVID-19 and its intersections with justice-related concerns. Guided by theories of critical data literacies and data justice, a historicized and future-oriented…

The developments and changes that have accompanied the COVID-19 pandemic have affected the educational world and all sectors. Educational institutions around the world have implemented emergency and online educational practises to ensure continuity of education as opposed to the planned distance education activities that were implemented for…

In the higher education context, an increasing concern on the technical or instrumental approach permeates attention to academics' data literacies and faculty development. The need for data literacy to deal specifically with the rise of learning analytics in higher education has been raised by some authors, though in spite of some focus on the…

Within the broader literature concerned with potential bias in student measures of instructor effectiveness, two broad types of bias have been shown to operate in a course: internal and external. Missing is an assessment of the relative influence of each bias type in the classroom. Do internal or external types of bias matter more or less to…

Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…

A latent multivariate regression model is developed that employs a generalized asymmetric Laplace (GAL) prior distribution for regression coefficients. The model is designed for high-dimensional applications where an approximate sparsity condition is satisfied, such that many regression coefficients are near zero after accounting for all the model…

This study investigates the effects of socioeconomic status and schooling on the academic attainment of a cohort of students at a single medical school (N = 240). Partial least squares structural equation modelling was used to explore how students' summative assessment scores over 4 years of medical school were affected by: attainment in secondary…

The normal-distribution-based likelihood ratio statistic T[subscript ml] = nF[subscript ml] is widely used for power analysis in structural Equation modeling (SEM). In such an analysis, power and sample size are computed by assuming that T[subscript ml] follows a central chi-square distribution under H[subscript 0] and a noncentral chi-square…

The negative consequences associated with out-of-school suspension (OSS) are widely recognized, yet its commonly utilized counterpart, in-school suspension (ISS), has received little attention. This study examined school and student characteristics that predicted ISS and its links to academic outcomes, using the nationally representative High…

Background/Context: Hispanic-Serving Institution (HSIs), or those postsecondary institutions that meet the 25% Latina/o enrollment requirement to become federally designated as HSIs, are burgeoning in the United States. Similarly, emerging Hispanic-Serving Institutions (eHSIs), or those postsecondary institutions that enroll between 15% and 24%…

Recent research has shown that over-extraction of latent classes can be observed in the Bayesian estimation of the mixed Rasch model when the distribution of ability is non-normal. This study examined the effect of non-normal ability distributions on the number of latent classes in the mixed Rasch model when estimated with maximum likelihood…

Using data from a census of private schools in one of Lagos, Nigeria's administrative jurisdictions, this paper explores the linkages between a heterogeneous sector of private schools and issues of school access, affordability, quality, and ultimately social mobility for households at the bottom of the income distribution. Although a large private…

We examined the associations between preschool attendance and academic school readiness at kindergarten entry among 5-year-old children of immigrant mothers in the United States using data from a US nationally representative sample (Early Childhood Longitudinal Study-Birth Cohort, N = 1650). Comparing children who were in preschool (Head Start,…