The U.S. education system is facing severe challenges, including student learning loss, declining academic performance, a youth mental health crisis, and increasing absenteeism. Yet these challenges also provide a catalyst for transformational change. But a new paradigm for education cannot be done without the support for transformative school…

Organizational management is very important in running an efficient business and keeping up with the modern era. The purpose of this article is to present organizational problems, challenges, and key successes factor for an organization's performance. The first phase of the paper presents the problems seen in organizations, such as corporate…

Since its onset, scholars have characterized social media as a valuable source for data collection since it presents several benefits (e.g. exploring research questions with hard-to-reach populations). Nonetheless, methods of online data collection are riddled with ethical and methodological challenges that researchers must consider if they want…

This brief presents select findings from the "Conversion of Enrollment Slots from Head Start to Early Head Start (HS2EHS) Case Studies," six case studies of grant recipients that converted enrollment slots from Head Start to Early Head Start in 2021. This brief focuses on "developing the application to convert enrollment…

Why we need better reports of teacher professional development interventions for finding out what works where: Worldwide, billions of dollars are invested yearly in the professional development of in-service teachers ($14 billion in the USA alone, as of 2014; Bill & Melinda Gates Foundation, 2014). This makes the question of what effects TPD…

Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, where the scales of the manifest and latent variables are often subjective. This article studies how the model, parameter estimates, their standard errors…

Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, where the scales of the manifest and latent variables are often subjective. This article studies how the model, parameter estimates, their standard errors…

This quantitative study investigated the relationship between institutional control and NCLEX first-time pass rates during 2017-2021 for BSN, ADN, and LVN programs in the United States while controlling for school and program level characteristics. The study included five years of data gathered from nursing regulatory agencies and the Integrated…

Thinking about knowledge and knowing ("i.e.", epistemic cognition) is an important part of student learning and has implications for how they apply their knowledge in future courses, careers, and other aspects of their lives. Three classes of models have emerged from research on epistemic cognition: developmental models, dimensional…

Current literature exists centered on Multi-Tiered Systems of Support (MTSS) framework, its components, and ways in which MTSS is intended to support all students. Yet, there is a gap in the literature that examines how elementary schools are implementing it. This dissertation study sought to understand what the MTSS framework implementation at…

It is widely recognized that religious groups played a key role in founding institutions of higher education before the early 20th century. However, until now, scholars have lacked the detailed data required to articulate how those denominations' early commitments to higher education shaped the system of colleges and universities we know today.…

Statistics & data science are growing, rapidly evolving, and increasingly important for an informed citizenry in a data-saturated world. In this dissertation, I address two central questions: (1) who is taking statistics? and (2) what are statistics courses teaching? I estimate that 920,000 US students take statistics in high school each year,…

Historically, it has been difficult for students and their families to compare how different colleges and programs improve students' chances of landing a desirable job and earning a good salary. The U.S. Department of Education's 2015 release of student earning data was a major step toward remedying this problem. The data offered by the College…

While research into PhD programs and doctoral students' experiences has increased in recent years, fieldwork is overlooked as a source of learning and support. In education, the focus of this paper, fieldwork remains laced with notions of the anthropologist gathering data in a place that is not their own, which narrowly construct the role of the…

Despite the widespread adoption of data-based decision making (DBDM) policies in schools around the world, there is limited understanding of how teachers use DBDM in K-12 classrooms and the impact of DBDM training on teacher practices and student outcomes. This scoping review aims to provide an overview of the existing literature on the uses of…