In today's era of large-scale data, academic institutions, businesses, and government agencies are increasingly faced with heterogeneous datasets. Consequently, there is a growing need to develop effective methods for extracting meaningful insights from this type of data. Quantile, expectile, and expected shortfall regression methods offer useful…

Digital learning environments are becoming increasingly ubiquitous as a wide range of EdTech products and services enter classrooms and households across the globe. One salient attribute of these environments is their capacity to generate large amounts of data as students interact with the technology. These data logs can help construct a detailed…

The school accountability system in the Dominican Republic (DR) involves the use of several national assessments, the reporting of such data, and the training of principals on how to use such data as part of school improvement efforts. While this type of indicator accountability system does not include specific consequences, there is still…

The purpose of this qualitative descriptive study was to explore how experienced elementary educators in Central Montana described their use of new knowledge from research evidence to inform their teaching practice. Data sources included 15 semi-structured interviews and two focus groups. The Cognitive Affective Model of Conceptual Change was…

This study has three primary objectives. First to provide insight into possibilities for moderation/mediation analysis in education research by discussing analytical methods based on the counterfactual and developed in other disciplines. Second is to highlight specific issues related to mediation and the estimation of effects when the outcome is…

The edTPA has been fully operational since 2013, when it entered the field of education as a performance portfolio to assess teacher candidates' readiness for the classroom. Since that time 35 different states have been using it in some form, including Tennessee, which adapted it as a licensure requirement in 2019. Over the last several years, the…

This dissertation is composed of projects on three aspects of gathering and learning from data in the social sciences: drawing representative samples, taking valid measurement, and making warranted inductive inferences. Chapter one studies the challenge of drawing representative human samples. It is well documented that most samples used by…

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 three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…

For over four decades, the concept of teacher leadership has been debated nationally and internationally with a view of establishing its role in student learning and achievements in schools. Over this period, a sizeable amount of literature has been written with regards to teacher and school administration leadership. However, studies remain…