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Categorical and Nonparametric Data Analysis
Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, edu...
Categorical and Nonparametric Data Analysis
Now in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The book’s clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices. Highlights include the following: • Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code. ...
Best Practices in Quantitative Methods
The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the lit...
Science Denial
"Science doubt, resistance, and denial are not new. Galileo challenged the prevailing geocentric view of our solar system and was dismissed as a heretic. What is the history of science denial, what's different now, and why does it seem worse? In this opening chapter, What is the Problem and Why Does it Matter? Sinatra and Hofer chart the development of this problem, examine how doubt has also been manufactured, and explain how media attempts at "balance" can become a form of bias. While acknowledging the limits and fallibility of science, they argue that if the US is to be a leader in sustainable economic and social progress, a greater percentage of Americans need to value, understand, and accept scientific methods and findings. When so many US citizens deny science, the health and wellbeing of Americans and our hopes for a sustainable future are put in peril."--
Theoretical Foundations of Learning Environments
This book provides students, faculty, and instructional designers with a clear, concise introduction to the major pedagogical and psychological theories and their implications for the design of new learning environments.
Embracing Diversity in the Learning Sciences
More than a decade has passed since the First International Conference of the Learning Sciences (ICLS) was held at Northwestern University in 1991. The conference has now become an established place for researchers to gather. The 2004 meeting is the first under the official sponsorship of the International Society of the Learning Sciences (ISLS). The theme of this conference is "Embracing Diversity in the Learning Sciences." As a field, the learning sciences have always drawn from a diverse set of disciplines to study learning in an array of settings. Psychology, cognitive science, anthropology, and artificial intelligence have all contributed to the development of methodologies to study lea...
Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society
This volume features the complete text of the material presented at the Nineteenth Annual Conference of the Cognitive Science Society. Papers have been loosely grouped by topic and an author index is provided in the back. As in previous years, the symposium included an interesting mixture of papers on many topics from researchers with diverse backgrounds and different goals, presenting a multifaceted view of cognitive science. In hopes of facilitating searches of this work, an electronic index on the Internet's World Wide Web is provided. Titles, authors, and summaries of all the papers published here have been placed in an online database which may be freely searched by anyone. You can reach the web site at: www-csli.stanford.edu/cogsci97.
Grading the Nation's Report Card
Since the late 1960s, the National Assessment of Educational Progress (NAEP)--the nation's report card--has been the only continuing measure of student achievement in key subject areas. Increasingly, educators and policymakers have expected NAEP to serve as a lever for education reform and many other purposes beyond its original role. Grading the Nation's Report Card examines ways NAEP can be strengthened to provide more informative portrayals of student achievement and the school and system factors that influence it. The committee offers specific recommendations and strategies for improving NAEP's effectiveness and utility, including: Linking achievement data to other education indicators. ...
Foundations of Modern Statistics
This book contains contributions from the participants of the international conference “Foundations of Modern Statistics” which took place at Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, during November 6–8, 2019, and at Higher School of Economics (HSE University), Moscow, during November 30, 2019. The events were organized in honor of Professor Vladimir Spokoiny on the occasion of his 60th birthday. Vladimir Spokoiny has pioneered the field of adaptive statistical inference and contributed to a variety of its applications. His more than 30 years of research in the field of mathematical statistics had a great influence on the development of the mathematica...
