An Introduction to Empirical Legal ResearchOUP Oxford, 2014 - 324 páginas 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, analysing 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 practising 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. |
Conteúdo
Some Preliminaries | 1 |
Designing Research | 19 |
Collecting and Coding Data | 59 |
Analyzing Data | 117 |
Communicating Data and Results | 223 |
Supplementary Materials | 295 |
| 299 | |
| 317 | |
Outras edições - Ver todos
Termos e frases comuns
assess average box plot causal inference Chapter Cleveland 1994 coding coefficient collect compute confidence interval constitutions convey countries create criminal Database dataset decision dependent descriptive statistics developed display draw economic freedom effect eligible jurors Elkins empirical legal research empirical legal studies empirical research estimate example expect female judges Figueiredo Figure gender graphs guilty counts histogram hypothesis test independent judiciary independent variable intercept Journal judicial independence justice liberal law linear regression model logistic regression male measure of judicial normal distribution null hypothesis number of observations observable implications p-value panel perform plot Political population parameter Porta Posner random sample regression analysis relationship research question residuals sample mean sampling distribution scatterplot Science selection sentence length slope standard deviation standard error statistical inference statistical software statistically significant summarizing survey Table tenure test statistic theory U.S. Supreme Court uncertainty values visual voting to invalidate zero
