David B. Wilson – författare

The Scottish Enlightenment was a vital moment in the history of Western civilization. As one modern admirer of Scotland cogently wrote: “No small nation—except Greece—has ever achieved an intellectual and cultural breakthrough of this magnitude.” Placing Isaac Newton’s natural philosophy within a broad conceptual context, Seeking Nature’s Logic takes that science from Galileo to the early nineteenth century, concentrating on Scotland during the 120 years from 1690 to 1810—a period defined by the publication of Newton’s Principia in 1687 and the death of John Robison in 1805. Newton’s work changed the course of natural philosophy, and Robison was the most significant natural philosopher of the Scottish Enlightenment.As professor of natural philosophy at Edinburgh University from 1774 to 1805, John Robison taught the premier science of the day at the premier science university of the time. He discovered experimentally that electrical and magnetic forces were, like gravity, inverse square forces, and he wrote influential treatises on electricity, magnetism, mechanics, and astronomy. By articulating a particularly Scottish approach to physics, he was the main conceptual link between Newton and those Scottish geniuses of Victorian physics, Lord Kelvin and James Clerk Maxwell. Seeking Nature’s Logic explains the background of Robison’s natural philosophy, analyzes his own sharply shifting ideas, and places those ideas in the context of early nineteenth-century Scottish thought.

This introductory textbook takes a building-block approach that emphasizes the application and interpretation of statistics in research in crime and justice. This text is meant for both students and professionals who want to gain a basic understanding of common statistical methods used in criminology and criminal justice before advancing to more complex statistical analyses in future volumes. This book emphasizes comprehension and interpretation. As the statistical methods discussed become more complex and demanding to compute, it integrates statistical software. It provides readers with an accessible understanding of popular statistical programs used to examine real-life crime and justice problems (including SPSS, Stata, and R). In addition, the book includes supplemental resources such as a glossary of key terms, practice questions, and sample data. Basic Statistics in Criminology and Criminal Justice aims to give students and researchers a core understanding of statistical concepts and methods that will leave them with the confidence and tools to tackle the statistical problems in their own research work.

This introductory textbook takes a building-block approach that emphasizes the application and interpretation of statistics in research in crime and justice. This text is meant for both students and professionals who want to gain a basic understanding of common statistical methods used in criminology and criminal justice before advancing to more complex statistical analyses in future volumes. This book emphasizes comprehension and interpretation. As the statistical methods discussed become more complex and demanding to compute, it integrates statistical software. It provides readers with an accessible understanding of popular statistical programs used to examine real-life crime and justice problems (including SPSS, Stata, and R). In addition, the book includes supplemental resources such as a glossary of key terms, practice questions, and sample data. Basic Statistics in Criminology and Criminal Justice aims to give students and researchers a core understanding of statistical concepts and methods that will leave them with the confidence and tools to tackle the statistical problems in their own research work.

This book provides the student, researcher or practitioner with the tools to understand many of the most commonly used advanced statistical analysis tools in criminology and criminal justice, and also to apply them to research problems.

This book provides the student, researcher or practitioner with the tools to understand many of the most commonly used advanced statistical analysis tools in criminology and criminal justice, and also to apply them to research problems.