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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. The volume is structured
around two main topics, giving the user flexibility to find what
they need quickly. The first is "the general linear model" which is
the main analytic approach used to understand what influences
outcomes in crime and justice. It presents a series of approaches
from OLS multivariate regression, through logistic regression and
multi-nomial regression, hierarchical regression, to count
regression. The volume also examines alternative methods for
estimating unbiased outcomes that are becoming more common in
criminology and criminal justice, including analyses of randomized
experiments and propensity score matching. It also examines the
problem of statistical power, and how it can be used to better
design studies. Finally, it discusses meta analysis, which is used
to summarize studies; and geographic statistical analysis, which
allows us to take into account the ways in which geographies may
influence our statistical conclusions.
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. The volume is structured
around two main topics, giving the user flexibility to find what
they need quickly. The first is "the general linear model" which is
the main analytic approach used to understand what influences
outcomes in crime and justice. It presents a series of approaches
from OLS multivariate regression, through logistic regression and
multi-nomial regression, hierarchical regression, to count
regression. The volume also examines alternative methods for
estimating unbiased outcomes that are becoming more common in
criminology and criminal justice, including analyses of randomized
experiments and propensity score matching. It also examines the
problem of statistical power, and how it can be used to better
design studies. Finally, it discusses meta analysis, which is used
to summarize studies; and geographic statistical analysis, which
allows us to take into account the ways in which geographies may
influence our statistical conclusions.
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.
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 collection of the correspondence between G.G. Stokes and Lord
Kelvin provides invaluable insight and information on a period of
major historical importance. Stokes and Kelvin helped to bring
about conceptual and institutional changes that transformed the
science of physics. They and their Victorian colleagues constituted
one of the most significant groups of scientists in the history of
science. Stokes and Kelvin corresponded for more than fifty years
as professors in Cambridge and Glasgow respectively, thus amassing
what is easily the largest extant correspondence between two
Victorian physicists. The letters range widely over the people,
ideas, and institutions of the age, illuminating the histories of
Cambridge and Glasgow Universities and the Royal Society of London,
as well as developments in electromagnetism, hydrodynamics,
elasticity, optics, and X-rays. This collection is well indexed and
fully annotated. It will serve as a primary resource for
historians, physicists, and researchers in nineteenth century
British science and the history of physics.
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