Extending the Network


Book Description







Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II)


Book Description

"This document lays out a curriculum framework for pre-K-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 pre-K-12 statistics education"--




International Handbook of Research in Statistics Education


Book Description

This handbook connects the practice of statistics to the teaching and learning of the subject with contributions from experts in several disciplines. Chapters present current challenges and methods of statistics education in the changing world for statistics and mathematics educators. Issues addressed include current and future challenges in professional development of teachers, use of technology tools, design of learning environments and appropriate student assessments. This handbook presents challenging and inspiring international research perspectives on the history and nature, current issues, and future directions of statistics education and statistics education research.




Statistical Analysis of Network Data


Book Description

In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.




A Survey of Statistical Network Models


Book Description

Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models on graphs date back to 1959. Along with empirical studies in social psychology and sociology from the 1960s, these early works generated an active network community and a substantial literature in the 1970s. This effort moved into the statistical literature in the late 1970s and 1980s, and the past decade has seen a burgeoning network literature in statistical physics and computer science. The growth of the World Wide Web and the emergence of online networking communities such as Facebook, MySpace, and LinkedIn, and a host of more specialized professional network communities has intensified interest in the study of networks and network data. Our goal in this review is to provide the reader with an entry point to this burgeoning literature. We begin with an overview of the historical development of statistical network modeling and then we introduce a number of examples that have been studied in the network literature. Our subsequent discussion focuses on a number of prominent static and dynamic network models and their interconnections. We emphasize formal model descriptions, and pay special attention to the interpretation of parameters and their estimation. We end with a description of some open problems and challenges for machine learning and statistics.




Violence and Discipline Problems in U.S. Public Schools


Book Description

Under a Congressional mandate, the National Center for Education Statistics (NCES) is required to collect data on the frequency, seriousness, and incidence of violence in elementary and secondary schools. The NCES responded to this requirement by commissioning a survey, the Principal/School Disciplinarian Survey on School Violence, the results of which are detailed in this report. The school violence survey was conducted with a nationally representative sample of 1,234 regular public elementary, middle, and secondary schools in the 50 states and the District of Columbia in the spring and summer of 1997. The survey requested information on: (1) the incidence of crime and violence in the public schools; (2) principals' (or school disciplinarians') perceptions about discipline issues; (3) types of disciplinary actions schools took; and (4) security and violence prevention measures in the schools. More than half of U.S. public schools reported experiencing at least one crime incident in the school year 1996-97, and 1 in 10 schools reported at least one serious violent crime during the school year. Crime and violence were more of a problem in middle and high schools than in elementary schools. Middle and high schools were more likely to report that they had experienced one or more incidents of any crime and one or more incidents of serious violent crime than elementary schools. Most public schools reported having zero tolerance policies towards serious student offenses, and most schools reported that they used low levels of security measures to prevent violence. Most schools reported having formal school violence prevention programs. An appendix contains the survey questionnaire. (Contains 12 figures, 32 tables.) (SLD)




Topics and Trends in Current Statistics Education Research


Book Description

This book focuses on international research in statistics education, providing a solid understanding of the challenges in learning statistics. It presents the teaching and learning of statistics in various contexts, including designed settings for young children, students in formal schooling, tertiary level students, and teacher professional development. The book describes research on what to teach and platforms for delivering content (curriculum), strategies on how to teach for deep understanding, and includes several chapters on developing conceptual understanding (pedagogy and technology), teacher knowledge and beliefs, and the challenges teachers and students face when they solve statistical problems (reasoning and thinking). This new research in the field offers critical insights for college instructors, classroom teachers, curriculum designers, researchers in mathematics and statistics education as well as policy makers and newcomers to the field of statistics education. Statistics has become one of the key areas of study in the modern world of information and big data. The dramatic increase in demand for learning statistics in all disciplines is accompanied by tremendous growth in research in statistics education. Increasingly, countries are teaching more quantitative reasoning and statistics at lower and lower grade levels within mathematics, science and across many content areas. Research has revealed the many challenges in helping learners develop statistical literacy, reasoning, and thinking, and new curricula and technology tools show promise in facilitating the achievement of these desired outcomes.




Digest of Education Statistics


Book Description

Contains information on a variety of subjects within the field of education statistics, including the number of schools and colleges, enrollments, teachers, graduates, educational attainment, finances, Federal funds for education, libraries, international education, and research and development.