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Understanding & Combatting Data Fraud (Episode 64)

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Manage episode 425968040 series 3582853
Content provided by Kirstin Appelt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kirstin Appelt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Dave Hardisty, Associate Professor of Marketing and Behavioural Science at UBC Sauder School of Business.
Fraud has been a big story in the behavioural and decision sciences this summer. Dave Hardisty returns to the podcast to help us understand the incredible story of fraud in research about, well, fraud. We unpack what an accusation of data fraud means and how fraud is different from other bad practices, like p-hacking. We also explore the impacts of fraud and what we can all do about it, whether we're conducting our own research or reading/listening to others' research.

  continue reading

82 episodes

Artwork
iconShare
 
Manage episode 425968040 series 3582853
Content provided by Kirstin Appelt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kirstin Appelt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Dave Hardisty, Associate Professor of Marketing and Behavioural Science at UBC Sauder School of Business.
Fraud has been a big story in the behavioural and decision sciences this summer. Dave Hardisty returns to the podcast to help us understand the incredible story of fraud in research about, well, fraud. We unpack what an accusation of data fraud means and how fraud is different from other bad practices, like p-hacking. We also explore the impacts of fraud and what we can all do about it, whether we're conducting our own research or reading/listening to others' research.

  continue reading

82 episodes

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