In Single-Case Designs (SCD), the outcome variable most commonly involves some form of count data. However, statistical analyses and associated effect size (ES) calculations for count outcomes have only recently been proposed. Three recently proposed ES methods for count data are: Nonlinear Bayesian effect size (Rindskopf, 2014), Log Response…

The field of Data Science has seen rapid growth over the past two decades, with a high demand for people with skills in data analytics, programming, statistics, and ability to visualize, predict from, and otherwise make sense of data. Alongside the rise of various artificial intelligence (AI) and machine learning (ML) applications, we have also…

College students complete end-of-term surveys during their undergraduate education to report on their experiences of curriculum, faculty, and overall course satisfaction. Significant decisions are based on these surveys' results, despite limited and potentially unrepresentative results. Low student response rates on digital, electronic course…

Privacy and surveillance are pervasive words not only in higher education but also in many areas in our life. We use and hear them often while shopping online, reading the news, or checking the policies and terms of websites. In this study, I highlight the challenges of data collection and surveillance in education, specifically, in online…

The purpose of this study was to examine how educators working within a multi-tiered system of supports (MTSS) framework make sense of data, how they use data for instructional decision-making, and how the data use cultures at the district and school levels influence this data use. The study was designed with a theoretical framework informed by…

This descriptive, multiple case study was designed to convey a clear portrayal of the DIDM practice of six superintendents and to provide a description of what these superintendents employ during their decision making process. The ability of local education leaders to strategically influence the use of data for decision making has a large effect…

In this dissertation, I report findings from an exploratory case-study about Ray, a web developer, who works on a data-driven news team that finds and tells compelling stories with large sets of data. I implicate this case of Ray's coding on a data team in a writing studies epistemology, which is guided by the following question: "What might…

This dissertation is a qualitative study includes documents analysis and interviews. The study focus is applying entrepreneurial theory to funding public higher education in the U.S. The critical portion of the dissertation focuses on the best practices they have implemented to practice academic entrepreneurialism. The literature review takes a…

This dissertation examines the role of conceptions of data's value in data practices. Based on a study of three small teams of scientists carrying out ecological research at a biological station, my study addresses the following main question: How do scientists conceive of the value of their data, and how do scientists enact conceptions of value…

This research was a mixed-methods study investigating how teachers in northeastern West Virginia use student data to drive their instructional decisions. This study also investigated teachers' perceptions of the data use on their instruction, their students, and themselves. Data collection for this research included both a cross-sectional survey…

This qualitative case study explored the perceptions and practices of three teachers who teach social justice concepts in kindergarten and 2nd grade classrooms in an urban school district in the Northwest region of the United States. The research sought to answer the following central questions: (a) What do teachers perceive about how instruction…

The purpose of this qualitative case study was to describe the principal's perspective of the efficacy of the principal walk-through as a tool to improve and gather formative feedback about teaching. Principals from selected schools in one district were interviewed to further clarify their feelings and provide insight into how they engaged in the…

This explanatory case study investigated why educators (teachers, administrators and support teachers) in a northeast charter school found it difficult to implement a data-driven decision-making (D3M) process. To comprehend where the breakdown in the process occurred, the researcher examined the cultural, technological and political barriers that…

This qualitative study identified those factors that influence the perceived effectiveness of traditional IA control frameworks. The key factors examined in this study are risk management, governance, access control, privacy protection, integrity, availability, reliability, and usability. The researcher endeavored to determine how the…

This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…