Full Description
This volume explores the seemingly incongruent forces of statistical reasoning and the law and sheds some light on how institutional reaseachers can use the two in a complementary manner to prevent a legal action or to help support the rebuttal of a prima facie case (i.e., one that at first glance presents sufficient evidence for the plaintiff to win the case). Until now, there has been little linkage between the disciplines of law and statistics. While the legal profession uses statistics to support an argument, interpretations of statistical outcomes may not follow scientific reasoning. Similarly, a great piece of statistical theory or a tried-and-true methodology among institutional research professionals may be thrown out of court if it fails to meet the rules of evidence or contradicts current legal standing.Chapters in this volume exploring this topic from a number of perspectives, including: OL {list-style:disc}P:{margin-left 60px} The Art of Combining Statistics with the Law The Use of Data in Affirmative Action Litigation Statistical Evidence and Compliance with Title IX Organization and Maintenance of Data in Employment Discrimination Litigation Analyzing Personnel Selection Decisions in Employment Discrimination Litigation Settings Regression Analysis: Legal Applications in Institutional Research The information contained within this volume will benefit institutional research practitioners and contribute to a more frequent dialogue concerning the complexities of statistical science within the legal environment. This is the 138th volume of the Jossey-Bass quarterly report series New Directions for Institutional Research . Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.
Contents
EDITOR'S NOTES ( Andrew L. Luna ). 1. The Art of Combining Statistics with the Law ( Andrew L. Luna ) It is important to understand the court structure, jurisdiction, and legal jurisprudence behind case law and how the science of statistics can and should be used within the legal environment. 2. The Use of Data in Affirmative Action Litigation ( Michael S. Harris, John H. Roth ) This chapter focuses on the role of institutional research in enrollment management since the U.S. Supreme Court's decision in the University of Michigan affirmative action cases. 3. Statistical Evidence and Compliance with Title IX ( John J. Cheslock, Suzanne E. Eckes ) All college athletic programs have been affected by Title IX in some way. This chapter offers insights into the role of statistical evidence in demonstrating compliance with the law, as well as important considerations often missing from the Title IX policy debate. 4. Organization and Maintenance of Data in Employment Discrimination Litigation ( Bruce A. Christenson, Kathleen M. Maher, Lorin M. Mueller ) This chapter addresses the role of personnel system data in addressing allegations in employment discrimination cases. It describes the types of data that are frequently relevant in assessing allegation of discrimination regarding personnel actions. 5. Analyzing Personnel Selection Decisions in Employment Discrimination Litigation Settings ( Lorin M. Mueller, Eric M. Dunleavy, Ash K. Buonasera ) This chapter examines how employee selection, promotion, and termination should be analyzed in employment discrimination litigation and how statistics can be used to analyze applicant flow data. 6. Regression Analysis: Legal Applications in Institutional Research ( Julie A. Frizell, Benjamin S. Shippen Jr., Andrew L. Luna ) Regression analysis has played a significant role in college and university discrimination cases. The chapter examines this statistical tool and how compensation outcomes should be analyzed in employment discrimination litigation. INDEX.
