The following study shows how reparameterizations and constraints of the general linear model can serve to parse quantitative and qualitative aspects of predictors. We demonstrate three different approaches. The study uses data from the High School Longitudinal Study of 2009 on mathematics course-taking and achievement as an example. Results show…

Purpose: The purpose of the article is to gain more insight into factors that can explain students' success in business subjects. The focus is on the connection between performance in introductory courses in business mathematics (BM) and business statistics (BS) and success in various business subjects. Design/methodology/approach: Use of a…

Data Analytics has emerged as an essential skill for business students, and several tools are available to support their learning in this area. Due to the students' lack of programming skills and the perceived complexity of R, many business analytics courses employ no-code analytical software like IBM SPSS Modeler. Nonetheless, generative…

A modified and improved inductive inferential approach to evaluate item discriminations in a conditional maximum likelihood and Rasch modeling framework is suggested. The new approach involves the derivation of four hypothesis tests. It implies a linear restriction of the assumed set of probability distributions in the classical approach that…

Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, where the scales of the manifest and latent variables are often subjective. This article studies how the model, parameter estimates, their standard errors…

Implementation planning is a consultative educator support strategy with preliminary evidence of effectiveness from single-case design research. This meta-analysis investigates the impacts of implementation planning on educator implementation and student outcomes and explores moderators of these relationships. Principles of open science and…

Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, where the scales of the manifest and latent variables are often subjective. This article studies how the model, parameter estimates, their standard errors…

To evaluate the evolution of statistical education research aimed at the inclusion of technological resources in the initial and continuing education of teachers in Brazil, a systematic literature review (SLR) was conducted on 25 works published in the Scientific Proceedings of the National Meeting of Mathematics Education and on 7 papers from the…

Language, culture, and conceptions of uncertainty can impact the way that students respond to a statistical investigation. The aim of this small exploratory study was to gain insight into how two groups of children (aged 9-12) speaking different home dialects adopted expressions of uncertainty in a standard dialect used in school, specifically the…

Most higher education institutions in the UK now offer some form of additional individual support for mathematics and statistics. Whilst numerous studies have shown mathematics support can improve grades and reduce failure rates, there is a lack of research on other outcomes of interest such as anxiety or confidence, and very little research…

The undergraduate economics curricula for most of the 793 U.S. colleges and universities that conferred an economics bachelor's degree in 2019 are described in this article. Besides updating the prevalence of the economics major core requirements and their differences by institution type, the authors record new information on requirement…

Statistics & data science are growing, rapidly evolving, and increasingly important for an informed citizenry in a data-saturated world. In this dissertation, I address two central questions: (1) who is taking statistics? and (2) what are statistics courses teaching? I estimate that 920,000 US students take statistics in high school each year,…

This study examined the preliminary feasibility, acceptability, and efficacy of an autism-adapted cognitive behavioral therapy for depression in autistic youth, CBT-DAY. Twenty-four autistic youth (11-17 years old) participated in the pilot non-randomized trial including 5 cisgender females, 14 cisgender males, and 5 non-binary youth. Youth…

Working from the notion that the goal of middle school is to prepare students to successfully transition to high school, Baltimore Education Research Consortium (BERC) researchers investigated a range of outcomes consistent with this aim, such as performance in ninth grade, promotion to tenth grade, and course grades or test scores in middle…

One of the first simulation-based introductory statistics curricula to be developed was the NSF-funded Change Agents for Teaching and Learning Statistics curriculum. True to its name, this curriculum is constantly undergoing change. This article describes the story of the curriculum as it has evolved at the University of Minnesota and offers…