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Plos One|October 15, 2024
Cognitive support for political partisans' understanding of policy dataShuyuan Yu, John E OpferJournal of Experimental Child Psychology|December 9, 2025
Sources of error in numerical estimation: Insights from the wisdom of crowds effectHyekyung Park, John E OpferThe Behavioral and Brain Sciences|January 19, 2018
How not to develop a sense of numberJohn E Opfer, Koleen McCrinkFrontiers in Psychology|February 3, 2016
Learning Linear Spatial-Numeric Associations Improves Accuracy of Memory for NumbersClarissa A Thompson, John E OpferCognitive Psychology|April 28, 2007
Representational change and children's numerical estimationJohn E Opfer, Robert S SieglerCognition|October 19, 2006
Causal relations drive young children's induction, naming, and categorizationJohn E Opfer, Megan J BullochCognition|June 25, 2008
Representational change and magnitude estimation: why young children can make more accurate salary comparisons than adultsJohn E Opfer, Jeffrey M DevriesJournal of Experimental Child Psychology|April 3, 2008
Costs and benefits of representational change: effects of context on age and sex differences in symbolic magnitude estimationClarissa A Thompson, John E OpferDevelopmental Science|January 6, 2009
What makes relational reasoning smart? Revisiting the perceptual-to-relational shift in the development of generalizationMegan J Bulloch, John E OpferPageof 6