In this article, we interrogate the concept of methodological 'failures' as they arise during fieldwork, in the process of collecting empirical data. We highlight how the techniques of validity horizon matrices and power analysis can be used as methodological tools to illustrate moments in the fieldwork process where these 'failures' occur and to…

Across all social science disciplines, but in particular public administration, there is a shared concern about the costs of using traditional random samples to generate data, and its impact on researchers' ability to engage in "quality" research. As a result of these costs, more academics, practitioners, and students are turning to…

Academic outcomes and health outcomes are interconnected and reciprocal and school climate has emerged as a way to capture some of this relationship. An increasing trend in education policy is using multiple measures of school success, including school climate, such as California's Local Control Funding Formula (LCFF). As school climate evolves as…

Have you ever imagined yourself as a teacher leader but were not quite sure whether you really had--or could develop--the necessary skills? Have you wondered what the first steps toward becoming a teacher leader might be, what kinds of approaches work best, and how you could overcome the inevitable challenges that come with leading your colleagues…

This popular text, now in its fifth edition, provides step-by-step guidance for new and experienced researchers who want to use interviewing as a research method. This user-friendly guide explains the rationale for interviewing and the complexity of selecting interview participants, important interviewing techniques, and how to work with the…

Student's academic performance prediction empowers educational technologies including academic trajectory and degree planning, course recommender systems, early warning and advising systems. Given a student's past data (such as grades in prior courses), the task of student's performance prediction is to predict a student's grades in future…

This work aims to characterize students' writing processes using keystroke logs and understand how the extracted characteristics influence the text quality at specific moments of writing. Earlier works have proposed predictive models characterizing students' writing processes and mainly rely on distribution-based measures of pauses obtained from…

One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…

Drawing on a realist synthesis approach, this review identified qualitative data collection approaches that inform "first-person" lived experience in autism spectrum disorder (ASD) across phenotypic expression. It further drew upon methodologic approaches used in other conditions that similarly represent individuals with impaired verbal…

This handbook has been conceived as a guide for young researchers embarking on the exciting journey of investigating different aspects of plurilingual education. The text can also serve to review ideas previously encountered, and perhaps as a means of interrogating research methodologies in plurilingual contexts for those who already have ample…

Guided by the principle "good data presentation is timeless," (Cressey, 2014, p.305), this unit project challenges students to engage an alternative means of sharing communication research and to realize the potential for their presentations to become "visual legacies" through the creation of infographics. Students encounter…

Amid efforts to address the ongoing crisis of high costs, high debt burdens, and decreasing confidence in the value of higher education, TICAS [The Institute for College Access & Success] commissioned leading academics to write a series of papers to inform the policy conversation about how to implement effective, equitable, and sustainable…

Large-scale summative assessment results are typically used for program-evaluation and resource-allocation purposes; however, stakeholders increasingly desire results from large-scale K-12 assessments that inform instruction. Because large-scale summative results are usually delivered after the end of the school year, teacher use of results is…

Programs that improve teaching effectiveness represent a core strategy to improve student educational outcomes and close student achievement gaps. This article compiles empirical values of intraclass correlations for designing effective and efficient experimental studies evaluating the effects of these programs. The Early Childhood Longitudinal…

As a requirement of our era, digital competence and e-learning have become basic competencies. The importance of these concepts has become clearer in medical education, especially with the COVID-19 pandemic. This period also triggered the transformation in education with technology. This study aimed to examine the relationship between medical…