This manuscript presents findings from a study about the knowledge for and planned teaching of standard deviation. We investigate how understanding variance as an unbiased (inferential) estimator--not just a descriptive statistic for the variation (spread) in data--is related to teachers' instruction regarding standard deviation, particularly…

Secondary data analyses from the Longitudinal Study of Australian Children Kindergarten cohort were performed to understand any alterations in pubertal timing in Autism Spectrum Disorder (ASD) in a population sample. Timing of parent-reported pubertal events (ages 8-9, 10-11, 12-13 years), and self-report (14-15 years; N = 3454 no ASD, N = 94 with…

Data transformations have been promoted as a popular and easy-to-implement remedy to address the assumption of normally distributed errors (in the population) in linear regression. However, the application of data transformations introduces non-ignorable complexities which should be fully appreciated before their implementation. This paper adds to…

Background: Information about parents with intellectual and developmental disabilities (IDD) in the child protection system (CPS) continues to evolve. This study examined characteristics, experiences and representation of parents with IDD across three CPS decision points, as compared to parents with other disabilities and parents without…

Molenaar extended Mokken's original probabilistic-nonparametric scaling models for use with polytomous data. These polytomous extensions of Mokken's original scaling procedure have facilitated the use of Mokken scale analysis as an approach to exploring fundamental measurement properties across a variety of domains in which polytomous ratings are…

To seek out and find teachers who perform at a high level to meet the demands of education today, educational leaders need to possess the abilities, or a system, to identify those individuals with the natural ability to become leaders in the classroom, facilitate the learning process, and succeed in moving the practice of education into new…

This study examined the teacher observation cycle to understand the effect of observer knowledge, observer effort, observer power, and school culture on teachers' perceptions of whether the observation process helped them grow, implement strategies, or increase student learning. The concepts of power and expertise were defined by blending the…

Patient safety is a priority in healthcare today. Good clinician numeracy in doctors contributes to patient safety, since it is essential for accuracy in prescribing, and in data interpretation. Evidence, however, suggests that although doctors are assumed to be highly numerate, they often make errors in drug dose calculation and struggle to…

Regression analysis is an important aspect of most introductory statistics courses in sociology but is often presented in contexts divorced from the central concerns that bring students into the discipline. Consequently, we present five lesson ideas that emerge from a regression analysis of income inequality and mortality in the USA and Canada.

Mobile learning (m-Learning) is considered to be one of the fastest growing learning platforms. The immense interest in m-Learning is attributed to the incredible rate of growth of mobile technology and its proliferation into every aspect of modern life. Despite this, m-Learning has not experienced a similar adoption rate in the education sector,…

There is a pervasive need for school systems to empirically and reliably assess the data literacy and data use skills of their educators (Ingram et al., 2004). With the federal government holding states and school districts accountable for student achievement and the increased emphasis of high stakes testing in schools, it is also critical to be…

Obtaining predictions from regression models fit to multiply imputed data can be challenging because treatments of multiple imputation seldom give clear guidance on how predictions can be calculated, and because available software often does not have built-in routines for performing the necessary calculations. This research note reviews how…

This paper describes a case study for introductory statistics courses that promotes critical thinking in relation to causation.

Recently, statisticians have begun developing methods to improve the generalizability of results from large-scale experiments in education. This work has included the development of methods for improved site selection when random sampling is infeasible, including the use of stratification and targeted recruitment strategies. This article provides…

Differential item functioning (DIF), or item bias, is a relatively new concept. It has been one of the most controversial and the most studied subject in measurement theory. DIF occurs when people who have the same ability level but from different groups have a different probability of a correct response. According to Item Response Theory (IRT),…