Digital Commons Network^™

Factors Impacting The Empirical Identification Of The Bifactor Irt Model Of Rating Data, Wenya Chen

Dissertations

Response data corresponding to educational and psychological instruments may represent different dimensional structures to account for different patterns of the dependencies in the data. One of the dimensional structures that has been increasingly discussed in the literature is the bifactor structure. This structure can effectively separate different sources that influence the responses, which contributes to score validity and provides theoretical insights about the measured trait. Unfortunately, estimating this structure in practice comes with challenges. One such challenge is an empirical identification issue that is seldom discussed in the literature. This issue occurs when an item’s discriminations on the general and …

Diagnosing Silent Forgiveness At The Dialogical Limit In Endō Shūsaku’S Novel Silence, Catherine Buescher

Dissertations

I situate this dissertation within the context of the rightly noted deficiencies of dialogue and dialogical hermeneutics, deficiencies that prevent dialogue from effectively addressing the pathological nature of many of today's social issues, e.g., white supremacy, sexual and gender inequality, and climate change. Using the lens and limits of Western dialogical hermeneutics as noted by David Tracy, I conduct a case study of the dialogues of the main characters - Rodrigues, Ferreira, Kichijiro, God—in Endō Shūsaku’s novel Silence, noting the silence active in each of the dialogues at the end of the novel. I then argue that the nature and …

Synthetic Assembly Of Antibacterial Agents And Metal Chelating Ligands, Zachary Joseph Liveris

Dissertations

The exploitation of chemical synthesis exemplifies the notion of bridging both innovation and curiosity for the strategic assembly of sophisticated molecular infrastructures. By exerting this continuously evolving and versatile tool, synthesis has been applied in the development and influence of a myriad of ligands, biological probes, and persists to direct pharmaceutical innovation and modern medicine alike. Since pathogenic multidrug-resistant (MDR) microbial strains remain to be a persistent threat to both clinical healthcare and society, the need to develop selective and efficacious antibacterial agents that can impede microbe pathogenicity and regulate cellular mortality is paramount. In contrast to pharmaceutical development, organic …

Humanizing History: Empowering Educators To Navigate Difficult History Through Museum-Led Professional Development, Andrea Miskewicz

Dissertations

As museums increasingly serve as educational hubs, this research examines how teachers' participation in such programs contributes to their perceived efficacy for teaching topics of difficult history. Employing a mixed-methods approach, the study utilizes a survey with quantitative and qualitative measures to evaluate changes in teacher self-efficacy before and after a museum-led intervention. With a pre and posttest design, this study provides deeper insights into participants' experiences and challenges. Preliminary findings suggest museum-led professional development has a significant positive impact on teachers’ perceived self-efficacy, highlighting the resources and opportunities museums have available and the importance of humanizing history in social …

Estimating And Applying Parameters Necessary To Plan Cluster Randomized Trials (Crts) And Multisite Cluster Randomized Trials (Mscrts), Dea Mulolli

Dissertations

Cluster randomized trials (CRTs) are commonly used to study the effectiveness of educational interventions. During the design phase of a study, it is critical for researchers to ensure their studies are adequately powered to detect meaningful treatment effects, including both main and moderator effects. Designing CRTs with adequate power to detect main and moderator effects requires accurate estimates of design parameters. This research aims to advance the literature on design parameters for power analyses, specifically focusing on empirical estimates of intraclass correlations (ICCs). The work consists of three research papers that examine the role of including the teacher level in …

A Contingency Table Alternative To Poisson Regression In Comparing The Frequency Distributions Of Two Populations, Sandra Tay

Dissertations

When testing the conditional independence between a binary outcome and a binary treatment indicator, conditioned on a categorical variable with k levels, typically represented by a K × 2 frequency table, researchers often turn to Poisson regression and the Cochran-Mantel-Haenszel (CMH) test. However, a common challenge encountered in these analyses is the presence of treatment effect heterogeneity. Introducing an interaction term between treatment indicators and effect modifiers in log-linear regression offers potential solutions, yet the equidispersion assumption of Poisson regression remains problematic. On the other hand, the CMH test assumes similar treatment effects across all strata, disregarding potential variations among …

A Microgenetic Learning Analysis Of Contextuality In Reasoning About Exponential Modeling, Elahe Allahyari

Dissertations

This work explores the complex cognitive processes students engage in when addressing contextual tasks requiring linear and exponential models. Grounded within Piagetian constructivism and the Knowledge in Pieces (KiP) epistemological perspective (diSessa, 1993, 2018), this empirical study in a clinical setting develops a Microgenetic Learning Analysis (MLA) of the reasoning of 14 students from an Algebra II course. It reveals the critical role of cognitive disequilibrium as an essential cognitive state for conceptual development and the process of reorganizing knowledge systems. The study uncovers the fluctuations in students’ reasoning patterns and the significant impact on students’ reasoning patterns of task-specific …

An Experimental Study Of Supervised Machine Learning Techniques For Minor Class Prediction Utilizing Kernel Density Estimation: Factors Impacting Model Performance, Abdullah Mana Alfarwan

Dissertations

This dissertation examined classification outcome differences among four popular individual supervised machine learning (ISML) models (logistic regression, decision tree, support vector machine, and multilayer perceptron) when predicting minor class membership within imbalanced datasets. The study context and the theoretical population sampled focus on one aspect of the larger problem of student retention and dropout prediction in higher education (HE): identification.

This study differs from current literature by implementing an experimental design approach with simulated student data that closely mirrors HE situational and student data. Specifically, this study tested the predictive ability of the four ISML classification models (CLS) under experimentally …

Alternative Adjacency Matrices And Spatial Analysis, Jaeseong Hwang

Dissertations

Spatial analysis is essential for comprehending the spatial distribution of diseases and various phenomena across geographic regions. This study investigates the utilization of alternative adjacency matrices in spatial analysis, with a specific focus on implementing Poisson regression models. This study intricately explores the methodology behind constructing alternative weight matrices, specifying weight matrices, and comparing the performance of Poisson models using five different weight matrices.

The popular Poisson model model is described, and five different definitions of weight matrices are defined, which are the following: binary weight matrix, inverse distance weight matrix using Euclidean distance, Graph distance matrix, Path matrix, and …

Using Video Prompting To Teach Daily Living Skills To Young Adults With Disabilities, Melissa Anne Rajter

Dissertations

Young adults with disabilities may experience difficulties with the daily living skill of meal preparation. Such skills are significant for independent living, employment, and overall quality of life. Previous research has identified video prompting daily living skills as an effective practice that supports independent living. Furthermore, research on young adults with disabilities and video prompting daily living skills has shown an increase in the percentage of correct responses for meal preparation, compared to no use of video prompting. The purpose of the present study was to teach and assess three cooking recipes as a daily living skill for seven young …

Persistence Of Female Faculty In Stem, Andrea Constantinou

Dissertations

The lack of women entering certain STEM fields impacts female representation in research faculty, teacher faculty, and leadership positions in higher education. Through a narrative inquiry methodology utilizing the theoretical paradigms of self-determination theory and relational autonomy, this study extended understanding of the factors that motivate persistence for women in certain STEM fields. While prior research focused on understanding the barriers to retention, this study sought to identify the factors motivating retention for women in certain STEM fields. The results of this study contribute to understanding the motivating factors that influence a woman’s persistence in STEM. The data gathered from …

A Program Evaluation Of The Necessary Attributes, Accommodations, And Resources Neurodivergent Students Require For Success In Higher Education, Barbara Muñoz

Dissertations

Without academic resources and accommodations, neurodivergent students with mild to moderate Learning Disabilities (LD) may be unable to navigate the academic challenges and rigor associated with college success. I used a mixed-methods research design to collect data from various stakeholders to determine the supports neurodivergent students with LD need to be successful in college. My findings indicated students need accommodations for their learning differences, access to assistive technology, access to counseling or mental health services, and access to specialized support personnel to be successful. I recommended a policy to ensure neurodivergent students and their caregivers are aware of post-secondary institutions …

A Program Evaluation Of 3de Schools By Junior Achievement, Audra Lewis-Hoesch

Dissertations

3DE Schools by Junior Achievement is a framework for instruction designed to reshape the instructional ecosystem through a high school model that uses project-based learning and case-study methodology to help students acquire core competencies. The context of this inquiry includes various states in America where 3DE Schools are implemented. I utilized a mixed methods approach to collect data and gauge the influence of the 3DE instructional framework on students' readiness for college and career pursuits. Key outcomes showed that students in 3DE cohorts scored higher in math and English than the national average, contributing to an overall higher graduation rate …

The Role Of Work-Based Learning In Developing Future Skills And Competencies For The Workforce In The Fourth Industrial Revolution, Dorith Johnson

Dissertations

The study investigated the impact of work-based learning on developing skills and competencies required for the Fourth Industrial Revolution. Educators must adapt to what students need to succeed in this era. In this study, seven participants who oversee or have overseen a portion of various work-based learning initiatives engaged in a semi-structured interview process. The interview questions inquired about teacher preparation, practical strategies, programs or models of work-based learning, challenges and limitations, sustainability, and the impacts of different work-based models on employability skill development. The results provide hope that work-based learning can play a crucial role in today’s more technologically …

The Impact Of Grade-Level Switching In The Elementary School Setting, Christine Priester

Dissertations

Teaching a new grade level in elementary school requires developing extensive grade- level-specific knowledge. In many school districts, the support for teachers who move grade levels within a district is glaringly absent. In this study, the frequency and impact of teacher grade switching in a school district were examined through a mixed-methods study that included surveys with teachers, interviews with teachers, and student data. The research question was: What is the impact of grade-level teacher movement on instruction? The findings of this study show how students are affected by teachers switching grade levels in elementary school. Results shed light on …

Encendiendo La Intuición/Igniting Intuition: A Bilingual Reading Specialist's Lived Experiences And Reclaiming Of Literacies, Dora M. Guzmån

Dissertations

This autoethnography explores the researcher’s lived experiences as a first-generation Latina, bilingual reading specialist who developed biliteracy in English/Spanish from childhood through adulthood and how this ignited her cultural intuition. Framed by a critical, Chicana feminist lens, she analyzed her personal and professional biliteracy practices and cultural intuition to understand how she supported young bilingual readers. Qualitative data were collected retroactively and in-the-moment (e.g., voice/written reflective memos, journals). The study research focused on how her cultural intuition guided: a) her role and practice as a bilingual reading specialist; b) her role and practice as a bilingual literacy practitioner of bilingual …

A Convergent Parallel Mixed Methods Examination Of The Impact Of Graduate Student Loan Balances On Overall Quality Of Life Among Clinical Psychologists With Psyd Degrees, Lekai James

Dissertations

Graduate student loan debt in psychology, particularly for those with Doctorate in Psychology (PsyD) degrees in clinical psychology, is highly problematic. Previous research has shown that student loan debt negatively impacts quality of life (QOL) by affecting subjective well-being (SWB) and life satisfaction (LS). This study used a convergent parallel mixed method approach, guided by bottom-up spillover theory and Maslow’s hierarchy of needs, to explore the relationship between QOL and total graduate student loan balances, as well as the effects of income and monthly student loan payments on QOL among PsyD graduates. Participants (N = 16) completed a survey with …

Teaching Writing With The Digital Feedback Protocol: A Peer-To-Peer Intervention To Increase Elementary Student Writing Motivation, Karyn Keenan

Dissertations

Writing is a complex task, especially for elementary school writers; motivation in writing leads to greater writing performance and writing quality. Teachers enter their careers underprepared to teach writing and have to seek out professional development on writing for themselves. Technology can be leveraged in the elementary writing classroom, but it is an under researched area. The Digital Feedback Protocol is a case study dissertation study with an embedded professional development opportunity that supports teachers to implement a protocol for students to provide digital feedback to each other’s writing. The study was conducted with four third grade teachers and their …

Development Of Highly Efficient Hybridfunctionalized Membranes For Sustainable Water Harvesting, Ahmed Z. Abuibaid

Dissertations

Water scarcity has emerged as a critical global challenge. This problem catches the world's interest through events such as the severe drought in Europe during the summer of 2022. While desalination plants offer a solution, their high energy consumption necessitates the exploration of alternative, sustainable water resources. Addressing the urgent need for alternative water resources in the face of increasing water scarcity. A viable option was presented by fog harvesting, which is a method to collect water from atmospheric fog. This method was initially developed to meet the demands of a variety of sectors such as agricultural purposes, and household …

Design, Synthesis And Characterization Of Zinc And Gold-Based Metal Organic Frameworks And Complexes For The Detection And Treatment Of Cancer, May Reda Mohamed

Dissertations

The early detection of cancer plays a pivotal role in improving patient outcomes, emphasizing the urgent need for highly sensitive and selective biosensing platforms. Metal-Organic Frameworks (MOFs) have emerged as promising candidates in this domain due to their tunable properties, large surface area, and high porosity. Herein, the utilization of zinc-based MOF as a sophisticated biosensing platform tailored for the precise detection of the HER2 cancer biomarker is presented. HER2, a critical protein marker in breast cancer diagnostics and treatment, demands highly selective and accurate detection methods for effective patient management. Simple hydrothermal synthesis methodology has been adopted to synthetize …

Creating Advanced Processes Through Utilizing Renewable Eutectics For Gas Capture And Separation, Ahmad Mohammad Rasheed Al-Bodour

Dissertations

Global efforts to reduce emissions of environmentally harmful gases have intensified, with carbon dioxide (CO2) being identified as the most significant greenhouse gas and a key target for reduction strategies. Carbon dioxide (CO2) has the highest potential of threatening the environment. It is recognized as one of the greenhouse gases which has the potential of negative effects on the human being, atmosphere, and the environment. Even though CO2 gas has negative effects but at the same time it has high potential to be exploited in beneficial ways. For instance, CO2 is used in the energy field to produce the so-called …

Quasi-Monte Carlo Estimation For Functional Generalized Linear Mixed Models., Ruvini Kumari Jayamaha Hitihamilage

Dissertations

Functional Data Analysis (FDA) is a topic of growing interest in the statistics community and is applied in a wide range of fields such as Anthropology, Epidemiology, Meteorology, Neurology and Engineering. The data in FDA are smooth curves or surfaces in time or space which can be conceptualized as functions. Because of the smooth nature of the data and the measurements are highly correlated, making the classical methods such as univariate or multivariate analysis are infeasible for such data. Functional data Analysis (FDA) deals with these kinds of more detailed, complex, and structured data.

In this dissertation, we propose a …

On Near-Linear Cellular Automata Over Near Spaces, Abdul-Rahman M. Nasser

Dissertations

Cellular Automata can be considered as examples of massively parallel machines. They are computational mathematical objects consisting of a grid of cells, each of which can exist in a finite number of states. These cells evolve over discrete time steps according to a set of predefined rules based on the states of neighboring cells. The notion of cellular automata was first introduced by Ulam and von Neumann and then popularized by John H. Conway in the 1970s with one of the most famous examples being The Game of Life.

This research builds on and generalizes the work of Tullio Ceccherini-Silberstein …

Empirical Exploration Of Software Testing, Samia Alblwi

Dissertations

Despite several advances in software engineering research and development, the quality of software products remains a considerable challenge. For all its theoretical limitations, software testing remains the main method used in practice to control, enhance, and certify software quality. This doctoral work comprises several empirical studies aimed at analyzing and assessing common software testing approaches, methods, and assumptions. In particular, the concept of mutant subsumption is generalized by taking into account the possibility for a base program and its mutants to diverge for some inputs, demonstrating the impact of this generalization on how subsumption is defined. The problem of mutant …

Sustainable And Cost-Effective Work Zone Scheduling On Two-Lane Highways With Managed Lanes, Ahmed Z. Edrees

Dissertations

Roadway maintenance projects greatly influence the roadway capacity, resulting in potential traffic disturbances captured by delays. Additionally, costs associated with these projects tend to be exorbitantly extensive. Most agencies and planners try to find a solution that minimizes roadway maintenance costs, traffic delays, crash risks, and environmental impact.

Work zones on two-way two-lane roadway typically avoids high-demand periods. Lane-closure scenario is commonly used and converts the open lane into a phantom intersection, alternating two-direction movements on one lane with the help of a flagger or a temporary signal. Alternatively, using shoulders as temporarily managed lanes allows for simultaneous two-way movements …

Network Slicing And Noma Enabled Mobile Edge Computing For Next-Generation Networks, Mohammad Arif Hossain

Dissertations

The advent of next-generation wireless networks ushers in a new era of potential, harnessing cutting-edge technologies like mobile edge computing (MEC), non-orthogonal multiple access (NOMA), and network slicing as pivotal drivers of transformation. Within this landscape, an innovative approach is proposed by introducing a NOMA-enabled network slicing technique within MEC networks. This approach aims to achieve multiple objectives: meeting stringent quality of service requirements, minimizing service latency, and enhancing spectral efficiency. By seamlessly integrating NOMA with network slicing in edge computing environments, significant reductions in overall latency are achieved, alongside ensuring optimal resource allocation for NOMA users. To address these …

Integrating Laser Charging And Drones For Secure Edge Computing, Weiqi Liu

Dissertations

Drone-mounted base stations (DBSs) have emerged as a promising solution to enhance the flexibility and coverage of wireless networks, potentially revolutionizing communication systems. This dissertation explores the integration of DBSs into 5G and beyond networks, focusing on methodologies to optimize their deployment and performance. A laser charging-enabled DBS framework is proposed to extend flight time and enhance network coverage. By leveraging laser charging technology, the DBS can receive continuous energy transmission from a ground-based charging station while providing communication services to users. The framework is formulated as an optimization problem to jointly maximize flight time and communication data rate, while …

On The Ubiquity, Properties And Evolution Of Small-Scale Magnetic Flux Ropes In The Heliosphere, Hameedullah Farooki

Dissertations

The solar wind is a plasma constantly blowing out from the Sun with a large-scale magnetic field having significant local complexity at small scales. Small-scale magnetic flux ropes (SMFRs), plasma structures with twisted field lines, are an important element of this complexity. This dissertation contributes several studies that further our understanding of SMFRs. The first study applies machine learning to measurements from Wind labeled by the presence of SMFRs and magnetic clouds (MCs). MCs were distinguished from non-MFRs with an AUC of 94% and SMFRs with an AUC of 89% and had distinctive plasma properties, whereas SMFRs appeared to be …

Computational Microscopy For Biomedical Imaging With Deep Learning Assisted Image Analysis, Yuwei Liu

Dissertations

Microscopy plays a crucial role across various scientific fields by enabling structural and functional imaging with microscopic resolution. In biomedicine, microscopy contributes to basic research and clinical diagnosis. Conventionally, optical microscopy derives its contrast from the amplitude of the optical wave and provides visualization of the physical structure of the sample qualitatively. To understand the function at the cellular or tissue level, there is a need to characterize the sample quantitatively and explore contrast mechanisms other than light intensity. Image enhancement or reconstruction from microscopic imaging systems is known as computational microscopy, and it involves the application of computational techniques …

Interaction Of Particles With Plasma And Shock Produced By Pulsed Spark Discharge, Shomik Mukhopadhyay

Dissertations

Interactions of powders with high-temperature plasma and shockwaves occur in diverse scenarios, such as nuclear blasts, accidental industrial dust explosions, solid propellant combustion in explosive charges and when removing contaminants from surfaces. Electrostatic Discharge (ESD), known for generating shock and plasma, is a promising lab-scale technique for simulating these interactions. Studies with ESD involved placing powders near a spark-producing gap between electrodes and observing mechanical and chemical processes like particle motion and ignition. A limited range of spark conditions and material properties have been tested, which facilitated the development and validation of preliminary computational models describing this system. Significant gaps …