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Episode 68: Fraus P-Valoris - I
Manage episode 512868740 series 3449375
Content provided by Smriti Mehta and Daniël Lakens, Smriti Mehta, and Daniël Lakens. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Smriti Mehta and Daniël Lakens, Smriti Mehta, and Daniël Lakens 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://podcastplayer.com/legal.
In this two-part episode, we delve into the phenomenon of p-hacking. What are the various terms used to describe practices that inflate error rates? How does terminology shape our understanding and bring about change? What are its necessary and sufficient conditions, and which practices are most common?
Shownotes
- Simonsohn, U., Nelson, L. D., & Simmons, J. P. (2014). P-curve: a key to the file-drawer. Journal of Experimental Psychology: General, 143(2), 534.
- Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11), 1359-1366.
- Stefan, A. M., & Schönbrodt, F. D. (2023). Big little lies: A compendium and simulation of p-hacking strategies. Royal Society Open Science, 10(2), 220346.
- John, L. K., Loewenstein, G., & Prelec, D. (2012). Measuring the prevalence of questionable research practices with incentives for truth telling. Psychological Science, 23(5), 524-532.
- Fiedler, K., & Schwarz, N. (2016). Questionable research practices revisited. Social Psychological and Personality Science, 7(1), 45-52.
91 episodes
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Manage episode 512868740 series 3449375
Content provided by Smriti Mehta and Daniël Lakens, Smriti Mehta, and Daniël Lakens. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Smriti Mehta and Daniël Lakens, Smriti Mehta, and Daniël Lakens 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://podcastplayer.com/legal.
In this two-part episode, we delve into the phenomenon of p-hacking. What are the various terms used to describe practices that inflate error rates? How does terminology shape our understanding and bring about change? What are its necessary and sufficient conditions, and which practices are most common?
Shownotes
- Simonsohn, U., Nelson, L. D., & Simmons, J. P. (2014). P-curve: a key to the file-drawer. Journal of Experimental Psychology: General, 143(2), 534.
- Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11), 1359-1366.
- Stefan, A. M., & Schönbrodt, F. D. (2023). Big little lies: A compendium and simulation of p-hacking strategies. Royal Society Open Science, 10(2), 220346.
- John, L. K., Loewenstein, G., & Prelec, D. (2012). Measuring the prevalence of questionable research practices with incentives for truth telling. Psychological Science, 23(5), 524-532.
- Fiedler, K., & Schwarz, N. (2016). Questionable research practices revisited. Social Psychological and Personality Science, 7(1), 45-52.
91 episodes
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Similar to Nullius in Verba
When you hear the words Alzheimer's disease, what do you think of? The truth is, the picture most of us have of the disease is incomplete. Alzheimer's disease doesn't start when someone starts to lose their memory. It actually starts years – sometimes decades – earlier. The Rethinking Alzheimer's Disease Podcast is an engaging, narrative-style podcast miniseries for those curious or motivated to learn about Alzheimer’s disease. Perhaps you have a family member with Alzheimer’s disease, or ca ...
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continue reading
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