In a 1993 book review, E. Pearlstein asks, "Why don't textbook authors begin their discussion of magnetism by talking about magnets? That's what students have experience with." A similar question can be asked, "Why don't professors have students measure the force between permanent magnets in introductory physics labs?" The…

This paper reports how I addressed the issue of extensive missing values in my PhD study, "Digital Competencies of High School Mathematics Teachers". I collected data using an online survey. Several methods exist to address the issue of missing values. I utilised multiple imputation (MI) as it provides more accurate results. The mean…

An increasingly multicultural Aotearoa early childhood education (ECE) landscape forms the context for my doctoral study in progress. My research explores the culturally embedded and negotiated environmental identities of a growing number of migrant Indian teachers. This article documents my experiences of confronting and navigating the unexpected…

Advances in Information Technology (IT) and computer science have without a doubt had a significant impact on our daily lives. The past few decades have witnessed the advancement of IT enabled processes in generating actionable insights in various fields, encouraging research based applications of modern Data Science methods. Among many other…

Practice-based research is perceived as significantly important to enhance the quality of social studies education in the literature. In particular, graduate dissertations have great potential for contributing to the literature, and using research methods, and designs that improve practice is valuable in graduate-level research. This study focuses…

We present findings from an exploratory quantitative content analysis case study of 156 doctoral dissertations from Georgia State University that investigates doctoral student researchers' methodology practices (used quantitative, qualitative, or mixed methods) and data practices (used primary data, secondary data, or both). We discuss the…

Augmented reality (AR) helps three dimensional, virtual objects to be viewed, interactively, in a real-world setting. AR technology is used in many fields such as medicine, advertisement, military, industry, and increasingly in education. AR has an importantrole in concretizing educational platforms and achieving permanentlearning. This study aims…

Response styles introduce construct-irrelevant variance as a result of respondents systematically responding to Likert-type items regardless of content. Methods to account for response styles through data analysis as well as approaches to mitigating the effects of response styles during data collection have been well-documented. Recent approaches…

This brief examines how state policies and practices continue to evolve in light of the COVID-19 pandemic. It is based on data provided by 45 states plus the District of Columbia as of early May 2022. The brief updates our 2021 report, "Are Students Present and Accounted For? An Examination of State Attendance Policies During the COVID-19…

The National Center for Education Statistics (NCES) sponsors the National Teacher and Principal Survey (NTPS) on behalf of the U.S. Department of Education in order to collect data on public and private elementary and secondary schools in the United States. The NTPS is a large-scale, nationally representative sample survey of K-12 public and…

Systems for learning and producing knowledge, such as career and technical education (CTE), often reproduce inequities unless an equity-focused lens is used when designing, implementing, and evaluating programs. This framework presents guidance for conducting CTE research with an intentional focus on equity. Developed by the CTE Research Network's…

A significant share of education and development research uses data collected by workers called "enumerators." It is well-documented that "enumerator effects"--or inconsistent practices between the individual people who administer measurement tools-- can be a key source of error in survey data collection. However, it is less…

Free listing tasks are a common data collection method used by cultural anthropologists, language historians and linguists (Nolan, 2002; Ryan et al., 2000; Weller & Romney, 1988; Wolfram & Schillings-Estes, 1998). These tasks are interviews in which a researcher asks groups of respondents to list words or expressions that come to mind for…

Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…

The purpose of this brief is to increase states' awareness of national data resources that can support states in sharing, linking, integrating, and using data on young children with disabilities to enhance the provision of early intervention (EI) and early childhood special education (ECSE) services. The audience for this brief includes states'…