Listen to the Latest Podcast from Journal of Management!

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JOM 41(3)_Covers.inddIn the latest podcast from Journal of Management, Fred Oswald, Associate Editor of Journal of Management interviews Gerd Gigerenzer about his article co-authored with Julian N. Marewski entitled “Surrogate Science: The Idol of a Universal Method for Scientific Inference.” The article appeared in Journal of Management‘s Special Issue Bayesian Probability and Statistics in Management Research.

You can click here to download the podcast. You can also read the article for free by clicking here.

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gigerenzer_gerd_rgb_2006_webGerd Gigerenzer is Director at the Max Planck Institute for Human Development and Director of the Harding Center for Risk Literacy in Berlin. He is former Professor of Psychology at the University of Chicago and John M. Olin Distinguished Visiting Professor, School of Law at the University of Virginia. He is also Batten Fellow at the Darden Business School, University of Virginia, and Fellow of the Berlin-Brandenburg Academy of Sciences and the German Academy of Sciences. Awards for his work include the AAAS Prize for the best article in the behavioral sciences and the Association of American Publishers Prize for the best book in the social and behavioral sciences. His award-winning popular books have been translated into 18 languages.  Gigerenzer has trained U.S. federal judges, German physicians, and top managers in decision making and understanding risks and uncertainties.

FredOswaldFred Oswald currently serves the Rice University Department of Psychology as Chair, and he is a Professor in the Industrial/Organizational Psychology program. His published research addresses the reliability and validity of tests administered to applicants in organizational, education and military settings. Substantively, his work deals with defining, modeling and predicting societally relevant outcomes (e.g., job performance, academic performance, satisfaction, turnover) from psychological measures that are based on cognitive and motivational constructs (e.g., cognitive abilities, personality traits, situational judgment tests, job knowledge and skill, and biographical data). His statistical work in meta-analysis, structural equation modeling, and adverse impact also informs personnel selection issues and psychological testing in the research, practice and legal arenas.

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