Data collected in many biology laboratory classes are on ratio or interval scales where the size interval between adjacent units on the scale is constant, which is a critical requirement for analysis with parametric statistics such as t-tests or analysis of variance. In other cases, such as ratings of disease or behavior, data are collected on…

This study examined prospective secondary mathematics teachers' professional noticing of students' reasoning about mean and variability as described in a current statistics curriculum in the USA. Six prospective mathematics teachers were asked to analyse students' written solutions to statistics problems, constructed at the two levels described in…

Raven's Standard Progressive Matrices (Raven 1941) is a widely used 60-item long measure of general mental ability. It was recently suggested that, for situations where taking this test is too time consuming, a shorter version, comprised of only the last series of the Standard Progressive Matrices (Myszkowski and Storme 2018) could be used, while…

Kelley's Discrimination Index (DI) is a simple and robust, classical non-parametric short-cut to estimate the item discrimination power (IDP) in the practical educational settings. Unlike item-total correlation, DI can reach the ultimate values of +1 and -1, and it is stable against the outliers. Because of the computational easiness, DI is…

Statistics students' conceptions of the work of statisticians and the discipline of statistics may play an important role in the topics to which they attend and their interest in pursuing further study. To learn about students' conceptions, we collected open-ended survey responses from 44 undergraduate students who had completed introductory…

The flipped classroom (FC) inverts the traditional classroom by having students participate in passive aspects of learning at home and active aspects of learning in class with the guide of an instructor. The introductory statistics course for nonmath majors may be especially suited to the FC model given its unique challenges as a required course…

Scientific statistical working in a team is a special challenge for students in high schools, especially with a civic statistical problem. Ideally, they are following the PPDAC cycle: they formulate a problem together, plan an investigation, collect the data, use software to analyze the data, and formulate results in a seminar paper. This article…

Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…

This study investigates preservice middle school mathematics teachers' understanding of statistics and probability and provides a cognitive diagnostic assessment of their strengths and weaknesses on these subjects. A statistical reasoning test that included 15 multiple-choice and 5 open-ended items was developed from the perspective of the…

This paper considers recent efforts to conduct experimental and quasi-experimental evaluations of career and technical education programs. It focuses on understanding the counterfactual, or control population, for these program evaluations, discussing how the educational experiences of the control population might vary from those of the treated…

An increasing number of high school students are enrolling in statistics courses. Hence, an increasing number of teachers are needed to plan and implement these courses. Yet, many teachers report feeling unprepared to teach statistics. When planning and implementing these courses, teachers draw upon their knowledge and beliefs when making…

This supplement concerns Appendix E of the "What Works Clearinghouse (WWC) Procedures Handbook, Version 4.1." The supplement extends the range of designs and analyses that can generate effect size and standard error estimates for the WWC. This supplement presents several new standard error formulas for cluster-level assignment studies,…

The importance of quantitative literacy for creating and maintaining a democratic and just society is unequivocal, but undergraduate students often do not acquire these important skills. One barrier to teaching quantitative literacy skills is students' anxiety. The empirical evidence of the extent of the problem, however, does not seem to match…

Drawing on Bachrach and Baratz's first and second faces of interest group power, we explore the relationship between teachers' union power and reopening decisions during the fall 2020 semester in 250 large districts around the United States. We leverage a self-collected panel data set of reopening decisions coupled with measures of teachers' union…

We describe a unique environment in which undergraduate students from various STEM and social science disciplines are trained in data provenance and reproducible methods, and then apply that knowledge to real, conditionally accepted manuscripts and associated replication packages. We describe in detail the recruitment, training, and regular…