prove it with figures empirical methods in law and litigation statistics for social and behavioral sciences

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Prove It With Figures

Author : Hans Zeisel
ISBN : 9781461218241
Genre : Social Science
File Size : 71. 43 MB
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Prove It With Figures displays some of the tools of the social and statistical sciences that have been applied in the courtroom and to the study of questions of legal importance. It explains how researchers can extract the most valuable and reliable data that can conveniently be made available, and how these efforts sometimes go awry. In the tradition of Zeisel's standard work "Say It with Figures," the authors clarify, in non-technical language, some of the basic problems common to all efforts to discern cause-and-effect relationships. Designed as a textbook for law students who seek an appreciation of the power and limits of empirical methods, this is also a useful reference for lawyers, policymakers, and members of the public who would like to improve their critical understanding of the statistics presented to them. The many case histories include analyses of the death penalty, jury selection, employment discrimination, mass torts, and DNA profiling.

Reference Manual On Scientific Evidence

Author : Committee on Science, Technology, and Law
ISBN : 9780309214216
Genre : Political Science
File Size : 48. 7 MB
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The Reference Manual on Scientific Evidence, Third Edition, assists judges in managing cases involving complex scientific and technical evidence by describing the basic tenets of key scientific fields from which legal evidence is typically derived and by providing examples of cases in which that evidence has been used. First published in 1994 by the Federal Judicial Center, the Reference Manual on Scientific Evidence has been relied upon in the legal and academic communities and is often cited by various courts and others. Judges faced with disputes over the admissibility of scientific and technical evidence refer to the manual to help them better understand and evaluate the relevance, reliability and usefulness of the evidence being proffered. The manual is not intended to tell judges what is good science and what is not. Instead, it serves to help judges identify issues on which experts are likely to differ and to guide the inquiry of the court in seeking an informed resolution of the conflict. The core of the manual consists of a series of chapters (reference guides) on various scientific topics, each authored by an expert in that field. The topics have been chosen by an oversight committee because of their complexity and frequency in litigation. Each chapter is intended to provide a general overview of the topic in lay terms, identifying issues that will be useful to judges and others in the legal profession. They are written for a non-technical audience and are not intended as exhaustive presentations of the topic. Rather, the chapters seek to provide judges with the basic information in an area of science, to allow them to have an informed conversation with the experts and attorneys.

Linear Models For Optimal Test Design

Author : Wim J. van der Linden
ISBN : 0387202722
Genre : Education
File Size : 55. 47 MB
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This book begins with a reflection on the history of test design--the core activity of all educational and psychological testing. It then presents a standard language for modeling test design problems as instances of multi-objective constrained optimization. The main portion of the book discusses test design models for a large variety of problems from the daily practice of testing, and illustrates their use with the help of numerous empirical examples. The presentation includes models for the assembly of tests to an absolute or relative target for their information functions, classical test assembly, test equating problems, item matching, test splitting, simultaneous assembly of multiple tests, tests with item sets, multidimensional tests, and adaptive test assembly. Two separate chapters are devoted to the questions of how to design item banks for optimal support of programs with fixed and adaptive tests. Linear Models for Optimal Test Design, which does not require any specific mathematical background, has been written to be a helpful resource on the desk of any test specialist. Wim J. van der Linden is Professor of Measurement and Data Analysis, University of Twente, The Netherlands. His specialization is psychometric theory and methods, and he has been an active researcher of item response theory throughout his career. His current research is on test design, adaptive testing, test equating, and response-time modeling. Professor van der Linden is a past president of the Psychometric Society and a recipient of the NCME lifetime achievement award for his work on educational measurement.

Introduction To Applied Bayesian Statistics And Estimation For Social Scientists

Author : Scott M. Lynch
ISBN : 9780387712659
Genre : Social Science
File Size : 36. 15 MB
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This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.

Science In The Law

Author :
ISBN : STANFORD:36105063261833
Genre : Law
File Size : 76. 8 MB
Format : PDF
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This book is a student edition spin-off from the popular Science Law. The authors introduce law students to the rigors and details underlying scientific expert testimony, offering an entry point to a host of scientific fields that are highly relevant to the law. The book is designed to acquaint law students with scientific fields that are crucial to practicing law. Subjects reviewed include admissibility of scientific evidence. ethical standards of, and those concerning expert witnesses, statistical proof, survey research, epidemiology, and toxicology.

Law Of Toxic Torts

Author : Michael Dore
ISBN : STANFORD:36105060012536
Genre : Actions and defenses
File Size : 67. 77 MB
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Modern Scientific Evidence

Author : David Laurence Faigman
ISBN : STANFORD:36105134446157
Genre : Law
File Size : 43. 9 MB
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This book features the following salient topics: Admissibility of Scientific Evidence, A Functional Taxonomy of Expertise Ethical Standards of and Concerning Expert Witnesses; The Scientific Method; The Logic of Drawing Inferences From Empirical Evidences; Statistical Proof; Multiple Regression; Survey Research; Toxicology and Epidemiology.

Moore S Federal Practice

Author : James William Moore
ISBN : STANFORD:36105062004242
Genre : Civil procedure
File Size : 31. 15 MB
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Modern Scientific Evidence

Author :
ISBN : IND:30000107661047
Genre : Evidence, Expert
File Size : 51. 42 MB
Format : PDF, ePub
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Basic Concepts Of Probability And Statistics In The Law

Author : Michael O. Finkelstein
ISBN : 0387875018
Genre : Law
File Size : 57. 37 MB
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When as a practicing lawyer I published my ?rst article on statistical evidence in 1966, the editors of the Harvard Law Review told me that a mathematical equa- 1 tion had never before appeared in the review. This hardly seems possible - but if they meant a serious mathematical equation, perhaps they were right. Today all that has changed in legal academia. Whole journals are devoted to scienti?c methods in law or empirical studies of legal institutions. Much of this work involves statistics. Columbia Law School, where I teach, has a professor of law and epidemiology and other law schools have similar “law and” professorships. Many offer courses on statistics (I teach one) or, more broadly, on law and social science. The same is true of practice. Where there are data to parse in a litigation, stat- ticians and other experts using statistical tools now frequently testify. And judges must understand them. In 1993, in its landmark Daubert decision, the Supreme Court commanded federal judges to penetrate scienti?c evidence and ?nd it “re- 2 liable” before allowing it in evidence. It is emblematic of the rise of statistics in the law that the evidence at issue in that much-cited case included a series of epidemiological studies. The Supreme Court’s new requirement made the Federal Judicial Center’s Reference Manual on Scienti?c Evidence, which appeared at about the same time, a best seller. It has several important chapters on statistics.

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