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Jelte Wicherts

From Wikipedia, the free encyclopedia

Jelte Michiel "J.M." Wicherts (born September 13, 1976, in Amersfoort) is a Dutch psychologist and a professor in the Tilburg School of Social and Behavioral Sciences at Tilburg University.[1][2] His research interests include biases in decision-making, as well as scientific misconduct and reproducibility.[3][4][5][6] He has also studied group differences in IQ scores and the Flynn effect.[7][8]

Together with van Marcel van Assen he runs the Meta-Research Center at his university.[6][9] Work by the group on Statcheck has been featured in The Guardian.[10]

Education

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Wicherts received his master's degree in psychological methods from the University of Amsterdam in 2002, where he received his Ph.D. in psychological methods in 2007. His Ph.D. thesis was entitled Group differences in intelligence test performance, and his primary Ph.D. supervisor was Conor Dolan.[2]

References

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  1. ^ "Jelte M. Wicherts CV". Retrieved 31 May 2017.
  2. ^ a b "J.M. Wicherts". Tilburg University. Retrieved 31 May 2017.
  3. ^ "Jelte Wicherts". Metrics. Stanford University. Archived from the original on 14 August 2019. Retrieved 31 May 2017.
  4. ^ Buranyi, Stephen (1 February 2017). "The hi-tech war on science fraud". The Guardian. Retrieved 31 May 2017.
  5. ^ Carey, Benedict (3 November 2011). "Fraud Case Seen as a Red Flag for Psychology Research". The New York Times. Retrieved 31 May 2017.
  6. ^ a b Stokstad, Erik (2018-09-19). "This research group seeks to expose weaknesses in science—and they'll step on some toes if they have to". Science | AAAS. Retrieved 2019-03-22.
  7. ^ "Jelte Wicherts". Berkeley Initiative for Transparency in the Social Sciences. 27 January 2017. Retrieved 31 May 2017.
  8. ^ Kenny, Charles (30 April 2012). "Dumb and Dumber". Foreign Policy. Archived from the original on 2014-12-17. Retrieved 31 May 2017.
  9. ^ "Meta-Research Center". Meta-Research Center. Retrieved 2019-03-22.
  10. ^ Devlin, Hannah (2017-09-14). "Statistical vigilantes: the war on scientific fraud – Science Weekly podcast". The Guardian. ISSN 0261-3077. Retrieved 2019-03-22.
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