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An Introduction to Empirical Legal Research (Paperback, New)
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An Introduction to Empirical Legal Research (Paperback, New)
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Is the death penalty a more effective deterrent than lengthy prison
sentences? Does a judge's gender influence their decisions? Do
independent judiciaries promote economic freedom? Answering such
questions requires empirical evidence, and arguments based on
empirical research have become an everyday part of legal practice,
scholarship, and teaching. In litigation judges are confronted with
empirical evidence in cases ranging from bankruptcy and taxation to
criminal law and environmental infringement. In academia
researchers are increasingly turning to sophisticated empirical
methods to assess and challenge fundamental assumptions about the
law.
As empirical methods impact on traditional legal scholarship and
practice, new forms of education are needed for today's lawyers.
All lawyers asked to present or assess empirical arguments need to
understand the fundamental principles of social science methodology
that underpin sound empirical research. An Introduction to
Empirical Legal Research introduces that methodology in a legal
context, explaining how empirical analysis can inform legal
arguments; how lawyers can set about framing empirical questions,
conducting empirical research, analyzing data, and presenting or
evaluating the results. The fundamentals of understanding
quantitative and qualitative data, statistical models, and the
structure of empirical arguments are explained in a way accessible
to lawyers with or without formal training in statistics.
Written by two of the world's leading experts in empirical legal
analysis, drawing on years of experience in training lawyers in
empirical methods, An Introduction to Empirical Legal Research will
be an invaluable primer for all students, academics, or practicing
lawyers coming to empirical research - whether they are embarking
themselves on an empirical research project, or engaging with
empirical arguments in their field of study, research, or practice.
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