The application of diagnostic classification models (DCMs) in the field of educational measurement is getting more attention in recent years. To make a valid inference from the model, it is important to ensure that the model fits the data. The purpose of the present study was to investigate the performance of the limited information…

Educators use various statistical techniques to explain relationships between latent and observable variables. One way to model these relationships is to use Bayesian networks as a scoring model. However, adjusting the conditional probability tables (CPT-parameters) to fit a set of observations is still a challenge when using Bayesian networks. A…

Functional Data Analysis (FDA) has attracted substantial attention for the last two decades. Within FDA, classifying curves into two or more categories is consistently of interest to scientists, but multi-class prediction within FDA is challenged in that most classification tools have been limited to binary response applications. The functional…

Speech remediation by identifying those segments which compromise the quality of speech content can be performed by correctly identifying portions of a recording which can be deleted without diminishing from the overall quality of the speech, but rather improving it. Speech remediation is especially important when it is heavily disfluent as in the…

The number of malicious files present in the public domain continues to rise at a substantial rate. Current anti-malware software utilizes a signature-based method to detect the presence of malicious software. Generating these pattern signatures is time consuming due to malicious code complexity and the need for expert analysis, however, by making…

Disruptive innovations are used to lower costs and augment access to high-quality, affordable higher education, but little systematic research is available on the topic. Higher education institutions use disruptive innovations to save students time and money. To understand the process of disruptive innovation, I investigated the rapid diffusion of…

Early learning programs impact students, especially those with developmental delays. These formative years play a vital role in the overall development of the students' skills. School districts want to reach these special education students during these crucial years to help close the developmental delay gap. This quantitative study examines the…

Community college transfer students often experience "transfer shock" at receiving four-year institutions, which includes a variety of academic, social, and institutional challenges associated with the first-year transfer experience. Research has demonstrated that first-year program interventions can facilitate the transition of…

The purpose of this research study was to examine the unknown fears of embracing cloud computing which stretches across measurements like fear of change from leaders and the complexity of the technology in 9-1-1 dispatch centers in USA. The problem that was addressed in the study was that many 9-1-1 dispatch centers in USA are still using old…

Virginia Commonwealth University (VCU) is implementing a large scale exploration of digital pedagogies, including connected learning and open education, in an effort to promote digital fluency and integrative thinking among students. The purpose of this study was to develop a classroom assessment toolkit for faculty who wish to document student…

Background and Objective: Research has repeatedly found that students who have not developed sufficient reading skills by the third grade have lower rates of high school graduation and post high school outcomes. A growing body of literature has examined how the use of curriculum-based measurements (CBMs) can be used to identify these struggling…

Childhood trauma is prevalent and has a profound impact on student learning, behaviors, social-emotional well-being (Perfect et al., 2016), physical health, relationships (Tishelman et al., 2010), and brain architecture (Perry, 2001). Trauma-informed care professional development (PD) within the school setting is a relatively new notion for school…

This study examined the effect that striving behavior has upon an institution's expenditures. While not the first study to examine such effects, it was the first to look across a multitude of institutional types, spanning seven levels of Carnegie classifications and encompassing public and private not-for-profit bachelors-granting schools to…

The current study investigated how between-subject and within-subject variance-covariance structures affected the detection of a finite mixture of unobserved subpopulations and parameter recovery of growth mixture models in the context of linear mixed-effects models. A simulation study was conducted to evaluate the impact of variance-covariance…

A latent class signal detection (SDT) model was recently introduced as an alternative to traditional item response theory (IRT) methods in the analysis of constructed response data. This class of models can be represented as restricted latent class models and differ from the IRT approach in the way the latent construct is conceptualized. One…