The Statistics of Discrimination PDF Download
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Author: Ramona L. Paetzold
Publisher: McGraw-Hill Companies
ISBN:
Category : Law
Languages : en
Pages : 672
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Book Description
Author: Ramona L. Paetzold
Publisher: McGraw-Hill Companies
ISBN:
Category : Law
Languages : en
Pages : 672
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Book Description
Author: Brian Jersky
Publisher:
ISBN:
Category : Discrimination in employment
Languages : en
Pages : 194
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Book Description
Author: Stephanie R. Thomas
Publisher: Stephanie R. Thomas
ISBN: 1456766228
Category : Business & Economics
Languages : en
Pages : 227
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Book Description
Written with human resources professionals, in-house counsel and employment lawyers in mind, readers are introduced to the statistical analysis of adverse impact. Various tools for examining disparate impact are presented in a non-technical manner. Concrete examples and simple calculations demonstrate how these statistical tools can be applied to questions of adverse impact in hiring, promotion, and termination decisions. Traditional areas of vulnerability to adverse impact are discussed, and some emerging areas with potential for adverse impact, such as the use of social media in recruiting and current employment status as a candidate screening tool, are presented. The underlying sources of vulnerability are explored and pending legislation is discussed. The importance of litigation avoidance is stressed, and suggestions for minimizing the risk of employment litigation with proactive statistical analysis are provided. The goal is to give human resources professionals and legal counsel a better understanding of the information their statistical consultants are providing. This leads to an improved ability to identify and correct problem areas that may exist within the organization, as well as to prevent problems from arising in the future.
Author:
Publisher: Dwight Steward
ISBN:
Category :
Languages : en
Pages : 334
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Book Description
Author: Kaye
Publisher: CRC Press
ISBN: 9780824775148
Category : Mathematics
Languages : en
Pages : 236
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Book Description
Helping expert witnesses and consultants fulfill their professional responsibility by choosing the best statistical method for specific legal situations, this valuable reference surveys the most common methods already in use, describes their flaws and problems, anticipates significant new difficulties not previously identified, and supports the development and application of more refined techniques suited to the phenomena of discrimination. Statistical Methods in Discrimination Litigation considers the legal theories that underlie the collection and analysis of data for courtroom use ... discusses essential statistical techniques, such as the odds ratio, Mantel-Haenszel test, multiple linear regression analyses, competing psychometric concepts of fairness, and more ... outlines means of improving statistical presentations in court by more sophisticated data analysis techniques ... and brings together materials and references from law, statistics, and psychology in a unique synthesis. Introducing statisticians and social scientists to the legal concepts and methodological issues necessary for proving or rebutting claims of discrimination with statistical evidence, Statistical Methods in Discrimination Litigation is an important reference for applied statisticians; economists; psychologists; sociologists; attorneys and judges involved in discrimination litigation as well as experts who consult or testify in discrimination cases; advanced undergraduate statistics courses; and law school and graduate economics seminars on discrimination. Book jacket.
Author: Kaye
Publisher: CRC Press
ISBN: 1498710484
Category : Mathematics
Languages : en
Pages : 232
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Book Description
9. Issues and Methods in Discrimination Statistics -- 9.1. INTRODUCTION -- 9.2. BASIC STATISTICAL CONCEPTS IN THE COURTROOM -- 9.2.1. The Historical Legacy -- 9.2.2. Philosophical Attitudes Towards Probability -- 9.2.3. Hypothesis Tests -- 9.2.4. Confidence Intervals -- 9.2.5. Selection Effects -- 9.3. SPECIFIC STATISTICAL METHODS -- 9.3.1. Multiple Regression -- 9.3.2. Structural Models and Unreliability -- 9.3.3. Multiple Inference -- 9.3.4. Comparison of Rates and Proportions -- 9.3.5. Temporal Analysis -- 9.4. SUMMARY AND CONCLUSIONS -- REFERENCES -- Index
Author: Dwight D. Steward
Publisher:
ISBN: 9780615340500
Category : Business & Economics
Languages : en
Pages : 336
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Book Description
Statistical analysis can play a pivotal role in both avoiding and settling employment disputes. Employers and litigants in employment lawsuits routinely use statistics to investigate the legitimacy of employment decisions. "Statistical Analysis of Employment Data" provides managers and courts with empirical evidence that goes beyond anecdotes and stories. This textbook presents the methodologies that are used in statistical employment data analyses. While the focus is on statistics, it is not a cookbook of magic mathematical formulas. Instead, a non-mathematical approach is used to develop the conceptual framework underlying employment data analyses.
Author: Ramona L. Paetzold
Publisher:
ISBN: 9781539268185
Category : Actions and defenses
Languages : en
Pages : 463
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Book Description
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309264081
Category : Political Science
Languages : en
Pages : 129
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Book Description
U.S. agencies with responsibilities for enforcing equal employment opportunity laws have long relied on detailed information that is obtained from employers on employment in job groups by gender and race/ethnicity for identifying the possibility of discriminatory practices. The U.S. Equal Employment Opportunity Commission (EEOC), the Office of Federal Contract Compliance programs of the U.S. Department of Labor, and the Civil Rights Division of the U.S. Department of Justice have developed processes that use these employment data as well as other sources of information to target employers for further investigation and to perform statistical analysis that is used in enforcing the anti-discrimination laws. The limited data from employers do not include (with a few exceptions) the ongoing measurement of possible discrimination in compensation. The proposed Paycheck Fairness Act of 2009 would have required EEOC to issue regulations mandating that employers provide the EEOC with information on pay by the race, gender, and national origin of employees. The legislation was not enacted. If the legislation had become law, the EEOC would have been required to confront issues regarding currently available and potential data sources, methodological requirements, and appropriate statistical techniques for the measurement and collection of employer pay data. The panel concludes that the collection of earnings data would be a significant undertaking for the EEOC and that there might be an increased reporting burden on some employers. Currently, there is no clearly articulated vision of how the data on wages could be used in the conduct of the enforcement responsibilities of the relevant agencies. Collecting Compensation Data from Employers gives recommendations for targeting employers for investigation regarding their compliance with antidiscrimination laws.
Author: Scott B. Morris
Publisher: Psychology Press
ISBN: 1315301423
Category : Business & Economics
Languages : en
Pages : 401
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Book Description
Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact. While most human resources (HR) practitioners are familiar with basic adverse impact analysis, the courts and regulatory agencies are increasingly relying on more sophisticated methods to assess disparities. Employment data are often complicated, and can include a broad array of employment actions (e.g., selection, pay, promotion, termination), as well as data that span multiple protected groups, settings, and points in time. In the era of "big data," the HR analyst often has access to larger and more complex data sets relevant to employment disparities. Consequently, an informed HR practitioner needs a richer understanding of the issues and methods for conducting disparity analyses. This book brings together the diverse literature on disparity analysis, spanning work from statistics, industrial/organizational psychology, human resource management, labor economics, and law, to provide a comprehensive and integrated summary of current best practices in the field. Throughout, the description of methods is grounded in the legal context and current trends in employment litigation and the practices of federal regulatory agencies. The book provides guidance on all phases of disparity analysis, including: How to structure diverse and complex employment data for disparity analysis How to conduct both basic and advanced statistical analyses on employment outcomes related to employee selection, promotion, compensation, termination, and other employment outcomes How to interpret results in terms of both practical and statistical significance Common practical challenges and pitfalls in disparity analysis and strategies to deal with these issues
