This paper describes a short module for introducing data science to senior school students or other data-science beginners. The design focuses on "data moves." Students use CODAP to do their work.

This Monte Carlo simulation study aimed to investigate confirmatory factor analysis (CFA) estimation methods under different conditions, such as sample size, distribution of indicators, test length, average factor loading, and factor structure. Binary data were generated to compare the performance of maximum likelihood (ML), mean and variance…

During the pandemic, the economic way of thinking was extraordinarily useful, leading to a quick consensus among economists of widely differing political persuasions on many issues of pandemic policy. Yet speaking to politicians, bureaucrats, and the public revealed many ways in which the economic way of thinking was foreign and sometimes…

In an increasingly data-driven world, statistical literacy is a necessity yet statistical learning is often inhibited by statistics anxiety. Using the Auzmendi Scale to Measure Attitude toward Statistics (ASMAS), this study examines how statistics anxiety in university students is related to other dimensions of their attitudes toward statistics…

We study the returns to experience in teaching, estimated using supervisor ratings from classroom observations. We describe the assumptions required to interpret changes in observation ratings over time as the causal effect of experience on performance. We compare two difference-in-differences strategies: the two-way fixed effects estimator common…

In recent years, the integration of gamification into educational settings has garnered significant attention as a means to enhance student engagement and learning outcomes. By leveraging gamified elements such as points and leaderboards, educators aim to promote active participation, motivation and deeper understanding among students. This study…

One of the most important goals in a statistics class is to develop students who are statistically literate and can reason with statistical concepts. The REALI instrument was designed to concurrently assess statistical literacy and reasoning in introductory statistics students. This paper reports a measurement analysis of the statistical literacy…

Background: The purpose of this paper is to do a cross-sectional analysis to evaluate the impact of the Coronavirus Disease 2019 pandemic on Dental Match Residency statistics from the year 2019-2023. Methods: The Dental Match Residency statistics available from the Dental Match website were analyzed from years 2019-2023 to evaluate the impact of…

This article examines performance-based funding (PBF) as a governance tool in higher education through a meta-narrative review of recent literature. Rather than offering yet another extensive critique of neoliberalism and new public management (NPM) as drivers of PBF, it calls for a closer look at the conditions under which PBF succeeds or fails,…

It has been established that, in Bayesian tasks, performance and typical errors in reading information from filled visualizations depend both on the type of the provided visualization and information format. However, apart from reading visualizations, students should also be able to create visualizations on their own and successfully use them as…

This paper is based on a study that explored a pedagogical approach consisting of interactive story-based tasks used in a first-year undergraduate business statistics course. It addresses the types of understanding students developed for selected statistics topics. Participants were undergraduate business majors required to take the course. Data…

The need to determine the correct dimensionality of theoretical constructs and generate valid measurement instruments when underlying items are categorical has generated a significant volume of research in the social sciences. This article presents two studies contrasting different categorical exploratory techniques. The first study compares…

Meta-analyses based on systematic literature reviews are commonly used to obtain a quantitative summary of the available evidence on a given topic. However, the reliability of any meta-analysis is constrained by that of its constituent studies. One major limitation is the possibility of small-study effects, when estimates from smaller and larger…

This paper proposes a new methodology for estimating teacher value-added. Rather than imposing a normality assumption on unobserved teacher quality (as in the standard empirical Bayes approach), our nonparametric estimator permits the underlying distribution to be estimated directly and in a computationally feasible way. The resulting estimates…

This document provides a technical description of the sources and methods used to generate the set of employment projections by industry and occupation presented in the reports from the Nuffield funded research programme -- "The Skills Imperative 2035: Essential Skills for Tomorrow's Workforce." This Technical report provides details on…