This report describes the most current state and district suspension rates, and covers both trends and racial disparities in the use of suspension in California. A spreadsheet accompanying this report enables any reader to find their own district's most recent disaggregated data, as well as three-year trends for out-of-school suspensions, all of…

The Australian education and training system offers a range of options for young people. This publication provides a summary of the statistics relating to young people aged 15 to 19 years who participated in an education and training activity during 2014. Information on participation is presented for school students, VET in Schools students,…

Due to data limitations, very little is known about patterns of teacher cross-state mobility. The issue is important because barriers to cross-state mobility create labor market frictions that could lead both current and prospective teachers to opt out of the teaching profession. For this paper, we match state-level administrative data sets from…

Due to data limitations, very little is known about patterns of cross-state teacher mobility. It is an important issue because barriers to cross-state mobility create labor market frictions that could lead both current and prospective teachers to opt out of the teaching profession. In this paper, we match state-level administrative data sets from…

There are many well-known data sets that can be used to illustrate Simpson's Paradox. The Stand Your Ground data presented here shows Simpson's Paradox. In these data, race plays the key role--and not in the way that some students expect.

We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…

This study examines state- and county-level data on population, age, race and ethnicity, housing occupancy and housing tenure, education, labor force, employment and unemployment, income and poverty, health insurance coverage, disability status, migration patterns, and veteran status from the 2011-2015 American Community Survey (ACS) for the 13…

This is a critical time to understand the benefits and risks of educational research using large data sets. Massive quantities of educational data can now be stored, analyzed, and shared. State longitudinal data systems can track individual students from pre-K through college and work. Districts and schools keep detailed data on individual…

In 2012, more than 13 percent of undergraduates attended for-profit postsecondary institutions, up from 9 percent in 2009. The rapid growth of the for-profit sector has renewed public scrutiny and concern about the historically poor labor market outcomes of students at many of these institutions and the amount of debt students in these…

The objective of this commentary is to call attention to the feasibility and importance of large-scale, systematic, quantitative analysis in international and comparative education research. We contend that although many existing databases are under- or unutilized in quantitative international-comparative research, these resources present the…

This article aims to explain the ultimate organisation of the Argentinian educational system during the 1870s as a result of the 1873 world economic crisis, which led, among other measures, to budget cuts. These had serious consequences in both curriculum design and the general structure of the different educational levels. Such a system fostered…

Statistics in Brief publications present descriptive data in tabular formats to provide useful information to a broad audience, including members of the general public. They address simple and topical issues and questions. Using data from 2011-12, this Statistics in Brief updates and expands on a previous National Center for Education Statistics…

The aim of this paper is to provide an introduction of new imputation algorithms for estimating missing values from official statistics in larger data sets of data pre-processing, or outliers. The goal is to propose a new algorithm called IRMI (iterative robust model-based imputation). This algorithm is able to deal with all challenges like…

In April 2014 the North Carolina Department of Public Instruction (NCDPI) released its annual statewide Dropout Report covering the 2012-13 school year. This district report contains the dropout rate for WCPSS high school students and also depicts rates for other large school districts in North Carolina (NC) in addition to selected WCPSS student…

We started this study after noticing that university students make certain mistakes when elaborating column charts. The objectives of our research were to: 1) analyse the knowledge integrated into the competence of elaborating column charts; 2) analyse the procedure(s) to elaborate these charts; 3) analyse the mistakes that university students…