Student's attitudes towards Statistics are pivotal to their learning process as positive attitudes lead to highly satisfactory course achievement and lead to positive outcomes outside class as well. In this paper we are exploring the perception of students of management apropos Statistics, familiarity with which is imperative in today's world of…

Background: The MAKASI intervention aimed to empower sub-Saharan immigrants living in the Paris metropolitan area regarding sexual health and reduce their HIV exposure. The intervention was developed based upon a theoretical model of individual empowerment. Purpose: A scale was developed using sixteen 4-point Likert items adapted from existing…

The chemistry teacher pipeline has experienced considerable loss of teachers due to turnover. High turnover rates create localized staffing problems and a revolving door of novice teachers, particularly in the sciences and in urban and rural locales, which impacts student learning and achievement. This non-experimental longitudinal study examined…

The objectives of this study were to examine (1) the expectation for performance (EFP) in statistics of first year university students, (2) the relative effect of previous mathematics performance (PMP), perceived statistical self-efficacy (SSE), and statistics anxiety (SA) for understanding these expectations, and (3) whether students' EFP scores…

Statistics is an important component of the knowledge base for health care professionals. In this essay, it is argued that statistical knowledge for teaching (SKT) should be considered an important component of their preparation as well. Health care professionals often must help others understand the statistical basis for recommendations they…

We provide a computational exercise suitable for early introduction in an undergraduate statistics or data science course that allows students to "play the whole game" of data science: performing both data collection and data analysis. While many teaching resources exist for data analysis, such resources are not as abundant for data…

This document lays out a curriculum framework for PK-grade 12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering PK-grade 12 statistics education.

Preparing secondary students for college entrance requirements and the expectations of the job market, a market which is actively seeking the employees who are most qualified to take on jobs that require data analysis skills, is becoming increasingly important. Federal, state, and local education administrators and personnel must rewrite many of…

The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit in panel data settings. The "synthetic control" is a weighted average of control units that balances the treated unit's pre-treatment outcomes and other covariates as closely as possible. A critical feature of the original…

Psychometricians at an organization named the Education and Training Evaluation Commission (ETEC) developed a new test scoring method called the latent D-scoring method (DSM-L) where it is believed that the new method itself is much easier and more efficient to use compared to the Item Response Theory (IRT) method. However, there are no studies…

Early alert systems are an intervention at community colleges that aim to identify and informally intervene with students who are struggling in their courses. This study examined the relationship between early alert systems and student success in developmental and gateway math courses. This study also examined if the impact of early alert…

Background: As the body of scientific evidence about what works in education grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Websites and clearinghouses such as the "What Works Clearinghouse" (WWC), "Evidence for ESSA," "Blueprints for Healthy Youth Development,"…

Background: When RCTs are not feasible and time series data are available, panel data methods can be used to estimate treatment effects on outcomes, by exploiting variation in policies and conditions over time and across locations. A complication with these methods, however, is that treatment timing often varies across the sample, for example, due…

Self-efficacy constructs could predict students' practices and affect in learning the sciences. Researchers have pointed at such constructs as predictors of students' mathematics achievement and performance. Self-efficacy was also studied as predictor of emotions in learning mathematics, though little research has done so regarding self-efficacy…

The book provides an entry point for graduate students and other scholars interested in using the constructs of Piaget's genetic epistemology in mathematics education research. Constructs comprising genetic epistemology form the basis for some of the most well-developed theoretical frameworks available for characterizing learning, particularly in…