Textbook data is essential for teaching statistics and data science methods because it is clean, allowing the instructor to focus on methodology. Ideally textbook datasets are refreshed regularly, especially when they are subsets taken from an ongoing data collection. It is also important to use contemporary data for teaching, to imbue the sense…

Most quantitative analyses in workforce education are affected by missing data. Traditional approaches to remedy missing data problems often result in reduced statistical power and biased parameter estimates due to systematic differences between missing and observed values. This article examines the treatment of missing data in pertinent…

As this issue of the "Future of Children" makes clear, there is much yet to learn about military children and their families. A big part of the reason, write Anita Chandra and Andrew London, is the lack of sufficiently robust sources of data. Until more and better data are collected about military families, Chandra and London say, it…