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…

This research explores the emerging field of data science from the scientometric, curricular, and altmetric perspectives and addresses the following six research questions: 1.What are the scientometric features of the data science field? 2.What are the contributing fields to the establishment of data science? 3.What are the major research areas of…

With increased pressure for schools to demonstrate college and career readiness, it is crucial to explore the roles and activities of school counselors, the preservice training they receive, and how those college and career readiness concepts are integrated into their roles. The research questions were (1) What are the current roles and activities…

This study aimed to assess the effectiveness of existing insolvency predictive models employed for non-profit Higher Education Institutions (HEIs) and test a proposed predictive model utilizing statistical and ratio analysis by comparing HEIs in operations with those that closed from 2017 to 2020. The researcher incorporated a non-experimental,…

Several statistical models have been developed in educational measurement to determine and track the performance of students in longitudinal studies. An example of a model designed for such purpose is the latent transition analysis (LTA) model. The LTA model (Graham, Collins, Wugalter, Chung, & Hansen 1991) is a type of autoregressive model…

The purpose of this quantitative study was to test the relationship between instructional related expenditures and student performance on a state mandated exam while controlling for various district-level and student-level variables for school districts in the state of Texas. The study had two research questions regarding student performance in…

The COVID-19 Pandemic has presented the educational system with challenges that have caused adaptive instruction techniques for all student populations in one way or another. The researcher chose to focus specifically on the impact of adaptive instruction as a result of the COVID-19 Pandemic in the area of mathematics by evaluating student growth…

The National Council of Teachers of Mathematics (NCTM), has made an effort to increase the use of technology and the use of calculators into the classroom and curriculum. As a result, many studies and articles have been written on the subject of calculator use in the classroom. A review of over 600 studies revealed that it is not curricula that…

Propensity and prognostic score methods are two statistical techniques used to correct for the selection bias in nonexperimental studies. Recently, the joint use of propensity and prognostic scores (i.e., two-score methods) has been proposed to improve the performance of adjustments using propensity or prognostic scores alone for bias reduction.…

School principals are tasked with a daunting number of responsibilities, all of which must culminate in increased student achievement. The complexity of these responsibilities have left school leaders overwhelmed, resulting in diminished confidence and potentially substandard job performance. This study addressed the problem that many school…

Information Technology (IT) departments that include development and operations are essential to develop software that meet customer needs. DevOps is a term originally constructed from software development and IT operations. DevOps includes the collaboration of all stakeholders such as software engineers and systems administrators involved in the…

The purpose of this study was to develop a methodological approach using secondary data that researchers, faculty, and staff can utilize to assess student course performance and to identify the input and course environment factors that best predict student course success in an undergraduate lecture capture quantitative methods course. Using the…

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…

The Upward Bound Math and Science (UBMS) program at Temple University (TU) seeks to guide first-generation, low-income high school students from Philadelphia in their quest to obtain postsecondary STEM degrees that lead to related careers. This study aims to evaluate the efficacy of the program by analyzing its students' performance in light of…

University administrators regard technology transfer as their "Third Mission," because they benefit from more than a billion dollars in annual revenue stream through technology transfer operations. Technology transfer (TT) is the process by which research intensive universities transfer scientific innovations from an academic institution…