5 edition of Statistical methods in discrimination litigation found in the catalog.
Includes bibliographies and index.
|Statement||edited by D.H. Kaye, Mikel Aickin.|
|Series||Statistics, textbooks and monographs ;, v. 69|
|Contributions||Kaye, D. H. 1947-, Aickin, Mikel.|
|LC Classifications||KF8925.D5 S78 1986|
|The Physical Object|
|Pagination||x, 218 p. :|
|Number of Pages||218|
|LC Control Number||86013387|
Journal of the Royal Statistical Society: Series A (Statistics in Society) Journal of the Royal Statistical Society: Series B (Statistical Methodology) Journal of the Royal Statistical Society: Series C (Applied Statistics) Significance. An on-going expose of bad analyses and issues related to presenting analyses in litigation (Federal Rule , Daubert, etc.) Also in , a conversation you are welcome to join, discussing actual analyses, attorney-expert relations, and issues of analysis and presentation such as the meaning and use of "significance.".
Statistical Discrimination and Feedback Effects - Direct Effects of Discimination Unequal treatment of equals with respect to hiring, job assignment, training, pay, and sometimes promotion. Employers view may be correct or incorrect . Description: The Statistician joined the Journal of the Royal Statistical Society as its Series D from the journal of the Institute of Statisticians after the merger of the two bodies in The journal was first published by the Institute in as The Incorporated is now a valuable resource for professional statisticians involved in industry, academic research and education.
ysis is, I hope, the beginning of a clearer understanding of how statistical methods STATISTICAL PROOF OF DISCRIMINATION TISTICS IN EQUAL EMPLOYMENT OPPORTUNITY LITIGATION (). 8. I am preparing a more comprehensive analysis of hypothesis and significance testing that develops such an by: 9. Statistical Methods for Pharmaceutical Research Planning, Sten W Bergman and John C Gittins Goodness-of-Fit Techniques, edited by Ralph B D'Agostino and Michael A. Stephens Statistical Methods in Discnmination Litigation, ecMed by D H Kaye and MikelAickin Truncated and Censored Samples from Normal Populations, Helmut Schneider
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Book Description. This book sketches some of the legal doctrines that underlie discrimination litigation. It describes and probes frequently seen statistical methods. The book also describes the more or less standard methods being brought into United States Supreme Court.
COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle.
Statistical Books for Use in Employment Discrimination Lawsuits 4 statistics up to now are likely to benefit more from statistical discussions if the analysis techniques and methods are applied directly to litigation problems of the type they face on a day-to-day basis.
"Dwight Steward's Statistical Analysis of Employment Data in Discrimination Lawsuits and EEO Audits provides attorneys, human resource and employment compliance professionals an accessible conceptual introduction to the core statistical concepts involved in the analysis of employment data as typically used in employment discrimination : Hardcover.
Employment Discrimination Litigation will illuminate myriad issues such as Daubert motions, class certification issues, the setting of cut scores that will withstand challenge, common statistical analyses of adverse impact, and merit-based issues. Employment Discrimination Litigation alsoCited by: Statistical Methods of Discrimination and Classification: Advances in Theory and Applications is a collection of papers that tackles the multivariate problems of discriminating and classifying subjects into exclusive population.
The book presents 13 papers that cover that advancement in the statistical procedure of discriminating and Edition: 1. STATISTICAL EVIDENCE IN EMPLOYMENT DISCRIMINATION LITIGATION: SELECTION OF THE AVAILABLE POPULATION, PROBLEMS, AND PROPOSALS by William V.
Dorsaneo II1* N employment discrimination cases based upon the Civil Rights Act of and title VII of the Civil Rights Act of ,2 courts generally have. Statistical Methods in Discrimination Litigation, New York: Marcel Dekker, Statistics Series, Vol. 69,pp. (editor, with M. Aickin) crc Google Book Chapters and Forewords.
Frequentist Sttaistical Inference, in Handbook on Forensic Statistics, CRC Press (in press). 4 Statistical Trends in Private Sector Employment Discrimination Suits Donald L.
Zink, Arthur Gutman. 5 Statistical Issues in Litigation Bernard R. Siskin, Joseph Trippi. 6 Industrial and Organizational Psychologists as Expert Witnesses: Affecting Employment Discrimination Litigation Post Daubert George C.
Thornton III, Peter H. Wingate. In this presentation, we examine the role of statistical analysis as evidence in employment discrimination analysis. Specifically, we address: (1) Alternative Legal Theories of Discrimination.
A s we discussed in Chapter 5,at the core of assessing discrimination is a causal inference problem. When racial disparities in life outcomes occur, explicit or subtle prejudice leading to discriminatory behavior and processes is a possible cause, so that the outcomes could represent, at least in part, the effect of discrimination.
LEGAL STANDARDS AND STATISTICAL PROOF IN TITLE VII LITIGATION: IN SEARCH OF A COHERENT DISPARATE IMPACT MODEL MARCEL C. GARAUDt For the rational study of the law the black-letter man may be the man of the present, but the man of the future is the man of statistics and the master of economics.
Compensating Your Employees Fairly lays out everything HR professionals, in-house counsel, and employment attorneys need to know to ensure that your company’s compensation system is equitable, auditable, internally consistent, and compliant with all equal employment opportunity laws and : Stephanie R.
Thomas. PDF [FREE] DOWNLOAD Prove It with Figures: Empirical Methods in Law and Litigation (Statistics for Social and Behavioral Sciences) Hans Zeisel READ ONLINE Playing next.
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Admittedly, discrimination does occur, both in society and in the workplace. And as most attorneys know, many discrimination cases concern claims of either adverse treatment or adverse impact. In both types of litigation, employees believe that they have been discriminated against because of their minority status.
George Rutherglen joined Virginia's law faculty in He teaches admiralty, civil procedure, employment discrimination and professional responsibility. While he was a student at law school, Rutherglen was articles editor of the California Law Review and a member of the Order of the Coif.
After graduation, he clerked for Judge J. Clifford Wallace of the U.S. Court of Appeals. Statistical discrimination is a theorized behavior in which racial or gender inequality results when economic agents (consumers, workers, employers, etc.) have imperfect information about individuals they interact with.
According to this theory, inequality may exist and persist between demographic groups even when economic agents are rational and non-prejudiced. Age Discrimination Litigation offers dozens of powerful strategies, all annotated and many available nowhere else: How to avoid losing on summary judgment on pretext issues: changing reasons, discriminatory comments, ageist culture, comparable qualifications, statistical evidence, and.
In the workplace, such discrimination, if it does take place, is seldom explicit today and resort is often made to statistical methods of proof to document the underrepresentation of a protected class.
In the United States, the law distinguishes two basic classes of employment discrimination: disparate treatment and disparate impact.
Statistical Proof of Employment Discrimination. Statistical testing has been an element of proof in employment discrimination litigation since the appearance of the binomial model in Castaneda v.
Partida, U.S. () (concerning the race of jurors) and Hazelwood School District v. Statistical Methods for Pharmaceutical Research Planning, Sten W.
Bergman and John C. Gittins Goodness-of-Fit Techniques, edited by Ralph B. D'Agostino and Michael A. Stephens Statistical Methods in Discrimination Litigation, edited by DH Kaye and Mikel Aickin Truncated and Censored Samples from Normal Populations, Helmut Schneider Last week, I posed the following challenge: [T]he inevitable existence of some statistical discrimination doesn’t make the practice immune to criticism.
You can grant that it’s OK to some degree, but – even if the law is silent – still limited by ethics and/or etiquette. But precisely what limitations do you think are justified, and [ ].Kaye, David H., and Mikel Aickin, editors, Statistical Methods in Discrimination Litigation, (Marcel Dekker, ).
Killingsworth, Mark R., "Analyzing Employment Discrimination: From the Seminar Room to the Courtroom," Papers and Proceedings of the American Economic Review, ().