Developmental surveillance tools are used to closely monitor the early development of infants and young children. This study provides a novel implementation of a multidimensional item response model, using Bayesian hierarchical priors, to construct developmental profiles for a small sample of children (N = 115) with sparse data collected through…

The Aurora Institute has released state policy recommendations to enable our education system to transition from an industrial age "one-size-fits-all" model, to a future-focused model that supports education innovation, student agency, builds knowledge, and prioritizes mastery of skills and knowledge over seat time. The six identified…

There has been substantial scholarly attention given to teachers' functioning over the past two decades. Much of this attention has been precipitated by accounts of increasing teacher burnout and attrition from the profession. Central to this scholarly focus has been the construct of teacher self-efficacy, which has been shown to be a predictor of…

The National Reference Test (NRT) is uniquely placed, as a Key Stage 4 assessment which directly measures performance over time, to contribute to the evidence on the impact disruption due to the COVID-19 pandemic. The study in the main report provides additional analysis of the NRT 2020 and 2021 data to explore whether different areas of the…

Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area.…

The service profiles presented here were reviewed and confirmed by staff at Edinburgh University, Monash University, University of Illinois at Urbana-Champaign, and Wageningen University & Research. The profiles are descriptive inventories, with brief observations about the scope, organization and staffing of RDM [research data management]…

Using occupation profiles, jobseekers can see which industries employ the most workers in a particular field, which geographical areas have high concentrations of those jobs, and how wages differ by industry and geographical area. This article gives an overview of the data in the Occupational Employment Statistics (OES) occupation profiles. It…

Data-driven decision-making (DDDM) is a difficult topic to cover, but typically required, in the applied educational psychology course or other courses required for teacher licensure in the United States. While a growing body of literature indicates in-service teachers are resistant to DDDM and underprepared to engage in it, little has been done…

This paper establishes that system-generated data profiles are influencing the work of principals in three Queensland state schools. Drawing upon Foucault's notions of governance, as well as research emphasising performative cultures and the importance placed upon numbers and data in education, this paper uses the tale of the Emperor's map as a…

Changes in legislation including NCLB, RTT, and ESEA Flexibility Waivers have influenced the educational landscape. States and school districts have spent considerable time and resources to meet the mandates of this changing legislation, including the development of reporting systems and modification of principal evaluations systems. However, the…

We present a data set consisting of user profile data for 59,946 San Francisco OkCupid users (a free online dating website) from June 2012. The data set includes typical user information, lifestyle variables, and text responses to 10 essay questions. We present four example analyses suitable for use in undergraduate introductory probability and…

The way an animal moves from place to place can inform us about its life and environment. In this lesson, students examine the travel patterns of juvenile flatfishes in an estuary. The process of sampling bottom-dwelling fishes is explained, and data from a university-based marine science laboratory are evaluated. Students compare the distance…

The Data Quality Campaign (DQC) is dedicated to helping everyone with a stake in education, including parents, teachers, education leaders, and policymakers, effectively and appropriately understand and use education data. DQC helps parents and educators understand the value of data--why data matter and how they can help students be successful in…

This project assesses the feasibility of creating a voluntary, nationwide data dictionary that can be used to standardize the reporting of postsecondary accountability reporting requirements for the Carl D. Perkins Career and Technical Education Act of 2006 (otherwise known as Perkins IV). Variables, field codes, and programming instructions,…

The report examines the initiatives of state education agencies in the Northeast and Islands Region to support data-driven decisionmaking in districts and schools and describes the service providers hired to support this work. Four components of data-driven decisionmaking initiatives are identified: (1) Centralized data system/warehouse; (2) Tools…