The ongoing 'datafication' of contemporary society has a number of implications for schools and schooling. One is the increasing calls for schools to help develop young people's understandings about the role that digital data now plays in their everyday lives -- especially in terms of the 'data economy' and 'surveillance capitalism'. Reporting on…

We consider the ability to complete an investigative cycle as an indicator of the robustness of students' statistical knowledge. From this standpoint, we analyzed the written reports of primary education student teachers when they developed an investigative cycle in a Chilean and a Spanish university. In their development of the stages of the…

Missing values that fail to be appropriately accounted for may lead to reduced statistical power, biased estimators, reduced representativeness of the sample, and incorrect interpretations and conclusions (Gorelick, 2006). The current study provided an ontological perspective of data manipulation by explaining how statistical results can…

Head Start is a national program that helps young children from families with low income get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…

Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…

Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of…

Including women in research and collecting and disaggregating data on sex is an ethical imperative. However, increasingly gender identity is being prioritised over sex in data collection and language which has ethical implications. In this paper, the authors share their experiences as study participants; a health consumer advocate, patient…

State regulators are the central authority in higher-education oversight, charged with ensuring consumer protection and quality assurance within the regulatory triad. Yet gaps remain in the understanding of regulatory renewal processes, their real-world implementation, and the capacity challenges these agencies face. To address this, State Higher…

High-quality feedback requires understanding of a student's work, insights into what concepts would help them improve, and language that matches the preferences of the specific teaching team. While Large Language Models (LLMs) can generate coherent feedback, adapting these responses to align with specific teacher preferences remains an open…

This paper emphasizes the divergences in quantitative and qualitative methodological approaches when exploring trust relationships in school units. We focus on how participants responded and how the results were interpreted. This study, based on such design, questionnaires, and semi-structured interviews to understand trust among teachers and…

This documentation is for the Provisional File Version 1a of the School-Level Finance Survey (SLFS) for school year (SY) 2021-22, fiscal year 2022 (FY 22) conducted by the National Center for Education Statistics (NCES). It contains a brief description of the data collection in conjunction with information required to understand and access the…

This Case Study examines the challenges of positionality in researching female leadership in education. It is based on research that investigated the leadership styles that female school principals in the United Arab Emirates adopted based on the influence of female gender and national culture. The research adopted a mixed-method approach and was…

Realist evaluations, a form of theory-driven evaluation, aim to explain how, why, for whom, and to what extent a complex health intervention works (or does not work). Realist evaluations are often "methods-flexible" and encourage the appropriate use of a range of evidence types that provide explanatory value. However, there is a lack of…

Data visualization technologies are powerful tools for telling evidence-based narratives about oneself and the world. This paper contributes to the literature on data science education by examining the sociotechnical practices of data wrangling--strategies for selecting and managing large, aggregated datasets to produce a model and story. We…

In the contemporary society a massive amount of data is generated continuously by various means, and they are called Big-Data sets. Big Data has potential and limits which need to be understood by statisticians and statistics consumers, therefore it is a challenge to develop Big-Data Literacy to support the needs of constructive, concerned, and…