Within the frequentist structural equation modeling (SEM) framework, adjudicating model quality through measures of fit has been an active area of methodological research. Complicating this conversation is research revealing that a higher quality measurement portion of a SEM can result in poorer estimates of overall model fit than lower quality…

Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…

We present a method for Bayesian structural equation modeling of sample correlation matrices as correlation structures. The method transforms the sample correlation matrix to an unbounded vector using the matrix logarithm function. Bayesian inference about the unbounded vector is performed assuming a multivariate-normal likelihood, with a mean…

A practice that dates back centuries, apprenticeship is a workforce development model that has gained recent attention in the American higher education system. The researcher conducted a review of existing literature that included apprenticeships in higher education and other models of community college workforce development. Existing literature…

We explore ways in which statistics can be used to understand disease spread and support decision-making by governments. "Past performance does not guarantee future results"--we hope. We discuss and show examples from the National Science Foundation (NSF)-funded COVID-Inspired Data Science Education through Epidemiology (CIDSEE) project.…

Given the lack of cultural consideration of studies on digital natives, this study reports on a large-scale validation of the Digital Native Assessment Scale (DNAS) among university students from three regions of Greater China: Chinese mainland, Macau, and Taiwan, to examine measurement invariance and latent mean differences in the four constructs…

As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…

This study addressed the cognitive impacts of providing correct and incorrect machine learning (ML) outputs in support of an object detection task. The study consisted of five experiments that manipulated the accuracy and importance of mock ML outputs. In each of the experiments, participants were given the T and L task with T-shaped targets and…

In this article, we pursue two points of discussion. First, a new illustration is presented of the person-oriented tenet according to which it can be hazardous to generalize to the individual results that are based on the analysis of aggregated data. Second, it is illustrated that taking into account serial dependence information can result in not…

Resident assistants who serve as peer leaders to other students are consistently considered crucial in creating a positive on-campus experience. Despite the demonstrated benefits these peer leaders bring to their communities and the significant monetary resources invested in them, there is a significant lack of research about their selection,…

Recent advances in the development of large language models (LLMs) have led to power innovative suites of generative AI tools that are capable of not only simulating human-like-dialogue but also composing more complex artifacts, such as social media posts, essays, and even research articles. While this abstract has been written entirely by a human…

Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive research. Such questions can be answered by causal moderated mediation analysis, which assesses the heterogeneity of the mediation mechanism underlying the treatment effect across individual and…

The study illustrates the leadership role in an academic organization and investigates the leadership approaches that might account for an organization's success. Leadership at Harvard University is studied as a case study to characterize leadership legacy and to explore whether or not a combination of three leadership factors might be…

Educational technology terminology is messy. The same meaning is often expressed using several terms. More confusingly, some terms are used with several meanings. This state is unfortunate, as it makes both research and development more difficult. Terminology is particularly important in the case of personalization techniques, where the nuances of…

Consent is one necessary foundation for ethical research and it's one of the research ethics committee's major roles to ensure that the consent process meets acceptable standards. Although on Oxford 'A' REC (an NHS Research Ethics Committee based in the UK) we've been impressed by the thought and work put into this aspect of research ethics, we've…