The traditional "leaky pipeline" plots are widely used to inform gender equality policy and practice. Herein, we demonstrate how a statistical phenomenon known as Simpson's paradox can obscure trends in gender "leaky pipeline" plots. Our approach has been to use Excel spreadsheets to generate hypothetical "leaky…

These "Notes from the Field" describe one doctoral student's public visual fieldnotes practice during her data collection for her dissertation. In the creation of a public digital space for participants and the public to engage with the fieldnotes through online comments and in-person conversations, this shifts the practice of keeping…

Extension program evaluations often present opportunities to analyze data in multiple ways. This article suggests that program evaluations can involve more sophisticated data analysis approaches than are often used. On the basis of a hypothetical program scenario and corresponding data set, two approaches to testing for evidence of program impact…

In this paper we attempt to critically "make visible the flow and circulation of data" through analysing the datafication of the early years education sector in England (children aged 2-5). The concept of datafication is used to understand the processes and impacts of burgeoning data-based governance and accountability regimes. This…

In the era of Big Data, because of diminishing cost of data collection and storage, a large number of statistical tests may even possibly be conducted all together by a high school student to seek for some "exciting" new scientific findings. In this article, we propose an interesting approach to introduce students to some important…

In order to improve discrimination accuracy between Autism Spectrum Disorder (ASD) and similar neurodevelopmental disorders, a data mining procedure, Classification and Regression Trees (CART), was used on a large multi-site sample of PDD Behavior Inventory (PDDBI) forms on children with and without ASD. Discrimination accuracy exceeded 80%,…

Connecticut experienced two major changes in testing policy for children with disabilities that played a major role in conclusions about educational progress in the state. First, the No Child Left Behind Act (NCLB) of 2001 required that all students with disabilities participate in grade-level, standardized tests. This movement of students…

The primary technique that many researchers use to analyze data from randomized control trials (RCTs)--detecting the average treatment effect (ATE)--imposes assumptions upon the data that often are not correct. Both theory and past research suggest that treatments may have significant impacts on subgroups even when showing no overall effect.…

The number of unique words in children's speech is one of most basic statistics indicating their language development. We may, however, face difficulties when trying to accurately evaluate the number of unique words in a child's growing corpus over time with a limited sample size. This study proposes a novel technique to estimate the latent number…

Extension professionals employ many techniques and tools to obtain feedback, input, information, and data from stakeholders, research participants, and program learners. An information-gathering tool called Ketso is described in this article. This tool and its associated techniques can be used in all phases of program development, implementation,…

The Office of English Language Acquisition (OELA) has synthesized key data on English learners (ELs) into two-page PDF sheets, by topic, with graphics, plus key contacts. The topics for this report on English Learners (ELs) who are Asian or Pacific Islander include: (1) Top 10 Asian and Pacific Islander Languages Spoken Among ELs: SY 2013-14; (2)…

This publication presents estimates of apprentice and trainee activity in Australia for the September quarter 2015. The figures in this publication are derived from the National Apprentice and Trainee Collection no.86 (December 2015 estimates). The most recent figures in this publication are estimated (that is, for training activity from the March…

This qualitative case study was designed to investigate mentors and mentees and their relationships in a formal group-mentoring program. Results and findings were expected to contribute to the literature on how to best support future new faculty and senior faculty careers by providing data on the opinions of those who participated in the mentoring…

College Measures was established in 2010 as a partnership between the American Institutes for Research (AIR) and Matrix Knowledge Group (now Optimity Advisors). In 2016, College Measures became fully owned by AIR. It remains focused on using data to drive improvement in higher education outcomes in the United States. Through its Economic Success…

All students deserve a great education, one that affords them every opportunity to grow into knowledgeable and successful adults. To make this vision a reality, students, parents, educators, and policymakers must have access to the right information to make decisions and support student learning. The Data Quality Campaign's Four Policy Priorities…