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How Do You Know That Your Metrics Work? Fundamental Psychometric Approaches to Evaluating Metrics
Presented by Fred Oswald, Rice University

Moderated by Rebecca A. Grier, Ford Motor Company

Hosted by the HFES Perception and Performance Technical Group

Thursday, April 12, 2018
9:00-10:00 a.m. Pacific
11:00 a.m.-12:00 p.m. Central
12:00-1:00 p.m. Eastern

Good metrics can usefully inform organizations, systems, employees, and related research – and bad metrics can be ineffective or even damaging. This webinar will cover issues and ideas around measure development, psychometric reliability, and validation, so that you can appreciate the fundamental properties for developing, improving, and evaluating metrics relevant to your environment. The webinar will be of interest to anyone involved in metrics: students, academics, industry professionals, and funding agencies whose projects rely on good metrics. No experience is needed, except an appreciation for statistics (descriptive statistics, correlations).

Fred Oswald, PhD, is a professor in the Department of Psychology at Rice University. An organizational psychologist, he addresses issues pertaining to personnel selection, college admission, military selection and classification, and school-to-work transition. Oswald publishes statistical and methodological research in the areas of big data, meta-analysis, measure development, and psychometrics.

Rebecca A. Grier, PhD, is a human factors scientist at Ford Motor Company researching human interaction with highly automated vehicles. In addition, she is secretary/treasurer of the HFES Perception and Performance Technical Group and chair of the Society of Automotive Engineers Taskforce on Identifying Automated Driving Systems - Dedicated Vehicles (ADS-DV) User Issues for Persons with Disabilities.

Apr 12, 2018 9:00 AM in Pacific Time (US and Canada)

Webinar is over, you can not register now. If you have any questions, please contact Webinar host: Lois Smith.