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Towards a New Paradigm for Statistical Evidence
Many scientists now widely agree that the current paradigm of statistical significance should be abandoned or largely modified. In response to these calls for change, a Special Issue of Econometrics (MDPI) has been proposed. This book is a collection of the articles that have been published in this Special Issue. These seven articles add new insights to the problem and propose new methods that lay a solid foundation for the new paradigm for statistical significance.
Regression Modeling for Linguistic Data
The first comprehensive textbook on regression modeling for linguistic data offers an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. In the first comprehensive textbook on regression modeling for linguistic data in a frequentist framework, Morgan Sonderegger provides graduate students and researchers with an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. The book features extensive treatment of mixed-effects regression models, the most widely used statistical method for analyzing linguistic data. Sonderegger begins with preliminaries to regression modeling: assu...
Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.
Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interests to scholars in the field of disciplinary history.
Data Science for Undergraduates
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.
Statisticians of the Centuries
Written by leading statisticians and probabilists, this volume consists of 104 biographical articles on eminent contributors to statistical and probabilistic ideas born prior to the 20th Century. Among the statisticians covered are Fermat, Pascal, Huygens, Neumann, Bernoulli, Bayes, Laplace, Legendre, Gauss, Poisson, Pareto, Markov, Bachelier, Borel, and many more.
Investigations in Instructed Second Language Acquisition
Methods in current instructed second language acquisition research range from laboratory experiments to ethnography using non-obtrusive participant observation, from cross-sectional designs to longitudinal case studies. Many different types of data serve as the basis for analysis, including reaction times measurements, global test scores, paper and pencil measures, introspective comments, grammaticality judgements, as well as textual data (elicited or naturalistic, oral or written, relating to comprehension or production). Some studies rely on extensive quantification of data, while others may favour a more qualitative and hermeneutic analytic approach. Many of these issues and methods are e...
Renaissance Catalyst
Who is Renaissance Catalyst Deirdre Nansen McCloskey is an American economist and academic who has taught at the University of Illinois at Chicago since 2000, where she serves as a professor of economics, history, English, and communication. She is also an adjunct professor of philosophy and classics at UIC, and for five years was a visiting professor of philosophy at Erasmus University, Rotterdam. How you will benefit (I) Insights about the following: Chapter 1: Deirdre McCloskey Chapter 2: Econometrics Chapter 3: Joseph Schumpeter Chapter 4: Alessandro Manzoni Chapter 5: Economic history Chapter 6: Feminist economics Chapter 7: Chicago school of economics Chapter 8: Kondratiev wave Chapter...
Making the Most of Study Abroad
A "thorough introduction" (Booklist) that provides a blueprint for studying abroad for prospective students. Making the Most of Study Abroad prepares students for a successful study abroad experience. Although study abroad programs usually have a pre-departure orientation, most of these are only a couple hours and are not able to sufficiently cover the myriad of questions that students and their parents have about study abroad. This book is designed to fill that gap and inform the reader on many crucial elements that can make the difference between a fantastic study abroad trip and a lackluster stay. While this book is principally designed around the idea of study abroad, it can also serve a...
Data Action
How to use data as a tool for empowerment rather than oppression. Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.
The International Science and Evidence Based Education (ISEE) Assessment
The International Science and Evidence Based Education (ISEE) Assessment is an initiative of the UNESCO Mahatma Gandhi Institute of Education for Peace and Sustainable Development (MGIEP), and is its contribution to the Futures of Education process launched by UNESCO Paris in September 2019. In order to contribute to re-envisioning the future of education with a science and evidence based report, UNESCO MGIEP embarked on the first-ever large-scale assessment of knowledge of education.
