Social, Behavioral Scientists Eligible to Apply for NSF S-STEM Grants
Solicitations are now being sought for the National Science Foundation’s Scholarships in Science, Technology, Engineering, and Mathematics program, and in an unheralded […]
As a math professor who teaches students to use data to make informed decisions, I am familiar with common mistakes people make when dealing with numbers. The Dunning-Kruger effect is the idea that the least skilled people overestimate their abilities more than anyone else. This sounds convincing on the surface and makes for excellent comedy. But in a recent paper, my colleagues and I suggest that the mathematical approach used to show this effect may be incorrect.
Machine learning tools like chatbots and virtual assistants can emulate the work of psychologists and psychotherapists and are even helping to address people’s basic therapeutic needs.
The paper “The Nature and Organization of Individual Differences in Executive Functions: Four General Conclusions,” published in Current Directions in Psychological Science in 2012, is a recipient of Sage’s fourth annual 10-Year Impact Awards. The paper has been cited 2,172 times.
We are “less aware of the reasons for our choices than we think we are,” Petter Johansson and his partner Lars Hall have determined, and reasoning, as we call it, is often conducted post hoc.
Sales promotions usually list the discount before the restriction. But is this “good news then bad news” structure really the best practice?
Social psychologists David Dunning of the University of Michigan and Justin Kruger of New York University, whose research captured the public imagination by suggesting that unskilled people often overrate their own abilities, have received the 2023 University of Louisville Grawemeyer Award in Psychology.
The Dunning-Kruger Effect, explains David Dunning, comes when “people who are incompetent or unskilled or not expert in a field lack expertise to recognize that they lack expertise. So they come to conclusions, decisions, opinions that they think are just fine when they’re, well, wrong.”
The authors explored whether there are universal sound patterns in profanity. So we designed a series of studies involving speakers of different languages and found surprising patterns in how swear words sound across the world.