Are social science, cross-border research projects, where recruitment and data collection are carried out remotely (e.g. through social media and online platforms), required to follow similar ethical and data-sharing procedures as 'on-the-ground' studies that use traditional means of recruitment and participant engagement? This article reflects on…

Consultee-Centered Consultation (CCC) is built upon the use of a constructivist, interactive approach to support conceptual change in consultees. Constructivism is foundational in ethnographic traditions as well and it focuses on understanding socially constructed meaning-making in cultural groups. Given the importance of constructivism in both…

In order to further understand the experiences of lesbian, gay, bisexual, transgender, queer-plus (LGBTQ+) youth, they must be identified in surveys and data at the federal, state, and local level. Being able to identify LGBTQ+ youth in data, particularly in surveys and research about school climate and negative school experiences, including…

Although the importance of listening to young children's voices is acknowledged in international literature, it is not clear whether educational researchers "really" listen to them and, if they do, what research designs and methods facilitate that. Therefore, using the EPPI-centre approach (2007), a systematic literature review was…

Intensive longitudinal data is increasingly used to study state-like processes such as changes in daily stress. Measures aimed at collecting such data require the same level of scrutiny regarding scale reliability as traditional questionnaires. The most prevalent methods used to assess reliability of intensive longitudinal measures are based on…

A technology-based problem-solving test can automatically capture all the actions of students when they complete tasks and save them as process data. Response sequences are the external manifestations of the latent intellectual activities of the students, and it contains rich information about students' abilities and different problem-solving…

Technology and data analysis have evolved into a resource-rich tool for collecting, researching and comparing student achievement levels in the classroom. There are sufficient resources to discover student success through data analysis by routinely collecting extensive data on student behaviour and curriculum structure. Educational Data Mining…

Background: Online crowdsourcing platforms, such as Amazon Mechanical Turk (MTurk), have become popular alternatives to the ubiquitous student samples used in psychology research. r/SampleSize, an alternative pool on the website Reddit, allows for online participant recruitment without compulsory or immediate payment, making it potentially useful…

This article is written with the recognition that, as higher education studies evolve as a multidisciplinary area of inquiry, there is a need to reflect on the theoretical and practical concerns emerging from conducting higher education research. This is especially the case for early-career researchers who enter this relatively new field of study.…

Five years ago, California's education data lagged far behind the systems in most other states. However, state leaders and education advocates undertook a purposeful engagement and design process to build a data system that represents the state's values and meets different stakeholders' needs. This case study on California's P-20W Cradle-to-Career…

This volume provides alternatives for tackling existing empirical, methodological, and analytical challenges. It does so by providing a broad overview of less established, as well as emerging methods, which are of great relevance for current research on professional learning and development. As such, it offers a comprehensive collection of…

Since 2013, DaSy has tracked the status of Part C and Part B 619 state data systems to understand states' technical assistance needs, provide stakeholders with a national picture of what capacities state data systems have, and to track how those capacities are changing over time. Most recently, in spring of 2021, DaSy collected comprehensive…

The purpose of this study was to explore how evaluators justify using story-based methodologies when examining causality. The two primary research questions of the study included: 1) what arguments are made by evaluators to justify the credibility of story-based causal methodologies to evaluation stakeholders; and 2) from the perspective of…

Research Context: In educational research, "context effects" are often of inferential interest to researchers as well as of evaluative interest to policymakers. While student education outcomes likely depend on individual-level influences like individual academic achievement, school contexts may also make a difference. Such questions are…

The 2021-22 Civil Rights Data Collection (CRDC) is a mandatory survey of all public school districts and schools serving students in preschool through grade 12 in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico and therefore includes data from 17,704 public school districts also known as local education agencies (LEAs) and…