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Adverse Impact Analysis Understanding Data Statistics and Risk 1st Edition by Scott B Morris, Eric M Dunleavy ISBN 9781315301426 1315301423

Name: Adverse Impact Analysis Understanding Data Statistics and Risk 1st Edition by Scott B Morris, Eric M Dunleavy ISBN 9781315301426 1315301423
SKU: EB-48333722
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Adverse Impact Analysis Understanding Data Statistics and Risk 1st Edition Scott B. Morris Digital Instant Download

Author(s): Scott B. Morris, Eric M. Dunleavy

ISBN(s): 9781315301426, 9781138855854, 9781138855847, 9781315301433, 1315301423, 1138855855, 1138855847, 1315301431

Edition: 1

File Details: PDF, 1.61 MB

Year: 2016

Language: English

SKU: EB-48333722 Category: Uncategorized Tags: Eric M. Dunleavy, Scott B. Morris

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Adverse Impact Analysis Understanding Data Statistics and Risk 1st Edition by Scott B Morris, Eric M Dunleavy – Ebook PDF Instant Download/Delivery: 9781315301426 ,1315301423
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ISBN 10: 1315301423
ISBN 13: 9781315301426
Author: Scott B Morris, Eric M Dunleavy

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

Adverse Impact Analysis Understanding Data Statistics and Risk 1st Edition Table of contents:

Part 1 Introduction

1 An Introduction to Adverse Impact Measurement in the EEO Context

2 Understanding Employment Data Used for EEO Disparity Analyses

Part 2 Analyzing Employee Selection Decisions

3 Structuring a Traditional EEO Adverse Impact Analysis: The 2×2 Table

4 Statistical Significance Testing in Adverse Impact Analysis

5 Measuring Practical Significance in Adverse Impact Analysis

6 When and Why Do Different Indices Lead to Different Conclusions about Adverse Impact?

7 Workforce Composition and Utilization Analyses

8 Many 2×2 Tables: Understanding Multiple Events in Adverse Impact Analyses

Part 3 Analyzing Other Employment Outcomes

9 Proper Methods for Statistical Analysis of Promotions

10 Analyzing EEO Disparities in Pay: A Primer on Structuring Analyses

11 Analyzing EEO Disparities in Pay: Guidance in the Application of Regression Analyses

12 Analyzing Reductions in Force and Other Termination Decisions

Part 4 Perspectives on Adverse Impact Analysis

13 Using Your Data Wisely: Proactive Monitoring of Employment Disparities

14 Thoughts from an EEO Agency Perspective

15 Addressing the Ever Increasing Standards for Statistical Evidence: A Plaintiff Attorney’s Perspective

16 Disparate Impact, Trial by Statistics: Thoughts from a Defense Attorney’s Perspective

17 Case Law Interpretations of Statistical Evidence Regarding Adverse Impact

18 Some Conclusions and Emerging Issues in Adverse Impact Measurement

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Tags: Scott B Morris, Eric M Dunleavy, Adverse Impact, Understanding Data Statistics