Dr. Larry Chiagouris has a rare combination serving as a senior Fortune 500 executive and as an accomplished academician. He has provided expert testimony and written opinions on damages, marketing, advertising, intellectual property issues (including the use of survey research) for plaintiffs & defendants at major national & local firms.
• Experience evenly divided between plaintiff and defendant engagements over 25 cases
• Several cases include elements of intellectual property issues
• Majority of cases involve elements of consumer behavior or survey research
• Majority of cases involve elements of advertising related strategies and tactics
• Majority of cases involve elements of Internet related tactics
• Majority of cases involve written opinions and depositions
• Written and oral testimony in several Federal District Court jurisdictions
• Engaged by both large multinational law firms and small boutique firms
• Class action cases evenly divided between plaintiffs and defendants
Selected by Agency Magazine as one of 10 best and brightest researchers. He brings extensive experience as a Senior Marketing, Branding and Research Executive responsible for directing major assignments for companies such as AT&T, Campbell Soup, Kraft, Miller Brewing, Peugeot, Pfizer, Prudential and Visa.
He has a Ph.D. in Marketing, is Past Chairman, Advertising Research Foundation and Former Director of the American Marketing Association.
Survey research is used to provide greater levels of understanding in a wide variety of disputes. Issues such as consumer confusion, misleading advertising claims, disparagement, copyright infringement and trademark disputes can be better assessed as a result of developing and executing survey research. The purpose of this monograph is to aid attorneys in understanding what research standards and guidelines might be relied upon in their use of survey research.
Eric Forister, PhD, is an expert Economist with testifying experience on market definition, market power, and damages. His expertise includes applying advanced statistical techniques to datasets, synthesizing information from documents, and designing and evaluating surveys. A Senior Economist at Econ One, he focuses on relevant questions to tackle complex issues with an efficient and effective style of communication. Dr. Forister also has extensive experience consulting on issues including royalty rates, irreparable harm, sampling, survey design, common impact, and materiality.
Ideal Client Engagement: For litigation-related matters, an ideal engagement would be providing an opinion on economics, damages, market power, or market definition; or providing pre-litigation advice on the economics of potential claims, or the merits of a survey. For non-litigation matters, an ideal engagement would be helping to explain the economics of different business models or consulting to those considering buying or starting an optometry office.
Experience: Dr. Forister has acted in a support/consulting role on over 100 matters. His support work has been a mix of plaintiff and defense work. Dr. Forister has designed and evaluated surveys for IP and marketing cases and worked on a wide range of other matters, including:
Dr. Palmer Morrel-Samuels is a Research Psychologist with extensive training and experience in Statistical Analysis and Assessment Design. He has done a considerable amount of research and applied work on communication, testified to the U.S. congress on employee motivation and its linkage to objective performance metrics, published several articles on survey design in Harvard Business Review, among others, and wrote several patents to assist in the administration and analysis of workplace assessments. Dr. Morrel-Samuels currently teaches graduate courses on survey design and research methodology at the University of Michigan.
Litigation Services: Dr. Morrel-Samuels' education, practical experience, and distinguished authorship have made him a valuable resource for providing expert services in legal cases where workplace surveys or assessments are at issue, including:
Statistical analysis of very large datasets, measuring the impact of corporate culture on performance and race discrimination.
Analysis of a survey's validity, reliability, objectivity, fairness, accuracy, confidentiality, freedom from response bias, and conformance to The Uniform Guidelines pertaining to all workplace assessments.
Statistical analyses of performance-related and survey-related data.
Desiging and conducting employee and workplace surveys, including Electronic surveys.
Program evaluations, especially when used in hiring, firing, or other job actions.
Expert Witness Experience includes: Assisted the NAACP in its amicus brief for the Ricci discrimination case. Was the sole statistician in a successful $100M breach of contract case (Tower Automotive v. UNOVA) that required analyzing 4 million rows of data. Testified for the ICC’s International Court of Arbitration in The Hague. Has successfully withstood Daubert challenges - most recently from the City of Indianapolis in a large discrimination case involving the city's fire department.
For more information visit our website at www.ExpertWitnessPsychology.com
This might come as a shock: Employees in large corporations sometimes mistakenly believe that they have been discriminated against. 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. In disparate treatment cases, plaintiffs must show that they were treated differently because of that status, and incriminating statements-express or implied-must be admitted as evidence to suggest a discriminatory intent. In contrast, disparate impact cases typically address the discriminatory impact of an ostensibly neutral policy, decision, or program, so plaintiffs rely upon objective data from the entire corporation to prove a discriminatory outcome.
THERE'S NO DOUBT that companies can benefit from workplace surveys and questionnaires. A GTE survey in the mid-1990s, for example} revealed that the performance of its different billing operations, as measured by the accuracy of bills sent out, was closely tied to the leadership style of the unit managers.
This might come as a shock: Employees in large corporations sometimes mistakenly believe that they have been discriminated against. 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.
Effective evidence-based managelnent requires analyzing data from a broad array of sources and conducting carefully designed pretest-posttest comparisons. However, our experience suggests that few businesses take that process to the next level by building merged datasets that can be used for rigorous pretest-posttest comparisons and meaningful statistical analyses.
No contemporary guide exists for using statistics to prove causality in court. We outline a new theory explaining comprehension of causal graphs, and claim four hallmarks of causality are critical: Association, Prediction, Exclusion of Alternative Explanations, and Dose Dependence.
We distinguish between reverse discrimination and over-correction, arguing that the former should be used only to describe cases where well-qualified non-minority applicants are unjustifiably denied positions in organizations run by and/or staffed by minorities. Similarly, we argue over-correction should be used to describe well-qualified non-minority applicants who are unjustifiably denied positions in organizations run by non-minorities.
Dr. Thomas Maronick has provided both plaintiff and defense litigators with marketing and consumer expertise for over 25 years. Prior to that he was the in-house marketing expert at the FTC. Since leaving the FTC in 1997, Dr. Maronick has been qualified as an expert in numerous federal and state courts, providing expert reports, affidavits, and testimony on marketing, advertising, and consumer behavior matters.
Dr. Maronick has designed and implemented over 300 consumer surveys for litigation and/or policy related strategies, using virtually every survey research methodology, including mall-intercept studies, telephone and mail surveys, and studies using the internet and consumer mail panels. Dr. Maronick has testified (deposition/trial) over 75 times in the past five years and is the author of research of the use of surveys in litigation.
Salt Hill Statistical Consulting Alan Salzberg is Senior Statistician and Principal of Salt Hill. Dr. Salzberg's focus is statistical analysis, sampling, estimation, and modeling, especially using large or complex datasets. Many of Dr. Salzberg's consulting projects relate to the detection and measurement of bias or fraud. Dr. Salzberg has testified as an expert witness in statistics in multiple venues. Prior to joining Salt Hill, Alan was CEO at Analysis & Inference. He has also held positions at KPMG (in its Economic Consulting group) and at Morgan Stanley. Dr. Salzberg holds a Ph.D. in Statistics from the Wharton School of the University of Pennsylvania, where he also received a Bachelor of Science in Economics. For musings on everyday probability, see Dr. Salzberg's blog: "What are the chances?"