In scientific experiments as in architecture, it’s all about design. Patrick Onghena studies methodology and statistics in order to help other investigators properly set up their studies and analyze their results. He is especially interested in optimizing single-case experimental design so that researchers can glean as much reliable information as possible from small data sets. His recommendations have influenced the field of methodology and have been used in several studies on pain, depression, chronic fatigue, language pathology, learning disorders, relational aggression, and education. Onghena’s other area of expertise is meta-analysis, an increasingly vital tool for examining large volumes of data from many different studies that all address similar hypotheses. He has applied his meta-analytical skills to replicated single-case experiments and to a range of questions, like the possible pain-relieving effect of antidepressants and the effect of early prevention programs for families with young children at risk for physical child abuse and neglect.
The National Academy of Sciences has announced that APS Fellow Sian L. Beilock is a recipient of the 2017 Troland Research Award. The $75,000 prize is awarded to young investigators in recognition of outstanding scientific achievement within experimental psychology. Beilock, the Stella M. Rowley Professor of Psychology and an Executive More
In recognition of APS’s forthcoming journal on methodological advances, APS President Susan Goldin-Meadow invites her University of Chicago colleagues Stephen Raudenbush and Guanglei Hong to discuss a new view of path analysis that they hope will find its way into all areas of psychological science. More
With its simple design, the Apple Inc. logo is one of the most recognizable emblems in the world. But how well do people remember details of the icon? Which way does the leaf point? Is the bitten section on the right or left side? Psychological scientists at the University of More