Andrew Conway

Andrew Conway is a professor of cognitive psychology in the Division of Behavioral and Organizational Sciences at Claremont Graduate University. Conway’s research is aimed at understanding individual differences in intelligence and working memory capacity. People differ in their cognitive abilities, and these differences matter in life in terms of academic achievement, job performance, income, health, and happiness. His research is concerned with how cognitive abilities are measured and what role they play in various real-world cognitive tasks such as learning new information, reading and listening comprehension, and decision making.

Conway received a BS in computer science and psychology from Union College in Schenectady, New York. He then received both his MA and PhD in experimental psychology from the University of South Carolina. Upon receiving his doctorate, he began teaching at the University of Illinois at Chicago (UIC), where he served as both assistant and associate professor. From there, he worked as a lecturer, and later as a senior lecturer, at Princeton University before coming to CGU. He has won numerous awards throughout his career. In 2001 he was the UIC nominee for USA Professor of the Year, and in 2000 he was awarded the Excellence in Teaching Award from UIC.

He continues to publish extensively on intelligence, working memory, and cognitive control. His research approach integrates experimental psychology, psychometrics, and neuroscience.

Co-authored with K. Kovacs. “A Unified Cognitive/Differential Approach to Human Intelligence: Implications for IQ Testing.” Journal of Applied Research in Memory and Cognition 8 (2019): 255-72.

Co-authored with K. Kovacs. “Process overlap theory: A unified account of the general factor of intelligence.” Psychological Inquiry 27 (2016): 151-77.

Co-authored with K. Kovacs. “Individual differences in intelligence and working memory: A review of latent variable models.” Psychology of Learning and Motivation 58 (2013): 233-70.

Co-authored with G.C. Burgess, et al. “Neural mechanisms of interference control underlie the relationship between fluid intelligence and working memory span.” Journal of Experimental Psychology: General 140 (2011): 674-92.

Co-authored with M.J. Kane, et al. “Working memory span tasks: A methodological review and user’s guide.” Psychonomic Bulletin & Review 12 (2005): 769-86.

Co-authored with M.J. Kane, et al. “Working memory capacity and its relation to general intelligence.” Trends in Cognitive Science 7 (2003): 547-52.

Co-authored with N. Cowan and M.F. Bunting. “The cocktail party phenomenon revisited: The importance of working memory capacity.” Psychonomic Bulletin & Review 8 (2001): 331-35.

Analysis of Variance
Multiple Regression
Categorical Data Analysis
Factor Analysis
Structural Equation Modeling
Cognition
Intelligence