Uncertainty and dependency in causal inference. - Christopher Carroll; Patricia W. Cheng; Hongjing Lu (CogSci, 2011)

Logical Consistency and Objectivity in Causal Learning. - Patricia W. Cheng; Mimi Liljeholm; Catherine M. Sandhofer (CogSci, 2013)

Equations Are Effects: Using Causal Contrasts to Support Algebra Learning. - Jessica M. Walker; Patricia W. Cheng; James W. Stigler (CogSci, 2014)

How should autonomous vehicles behave in moral dilemmas? Human judgments reflect abstract moral principles. - Derek Powell; Patricia W. Cheng; Michael R. Waldmann (CogSci, 2016)

Causal Contrasts Promote Algebra Problem Solving. - Jian-ping Ye; Jessica M. Walker; Patricia W. Cheng (CogSci, 2016)

Analytic knowledge for constructing useable empirical causal knowledge: Two experiments on preschoolers. - Patricia W. Cheng; Mimi Liljeholm; Catherine M. Sandhofer (CogSci, 2017)

Estimating Causal Power between Binary Cause and Continuous Outcome. - Motoyuki Saito; Patricia W. Cheng (CogSci, 2017)

Promoting Pro-Climate Actions: A Cognitive-Constraints Approach. - Junho Lee; Emily Wong; Patricia W. Cheng (CogSci, 2020)

Teaching the Purpose and Meaning of Algebraic Variables Through Systems-of-Equations Story Problems: Multimedia Approaches. - Jeffrey K. Bye; Pei-Jung Chuang; Lauren Anthony; Patricia W. Cheng (ICLS, 2020)

When and Why Do Reasoners Generalize Causal Integration Functions? Causal Invariance as Generalizable Causal Knowledge. - Jeffrey K. Bye; Pei-Jung Chuang; Patricia W. Cheng (CogSci, 2021)

Causal invariance guides inference of empirical integration rules. - Jeffrey K. Bye; Patricia W. Cheng (CogSci, 2022)

Analytic Causal Knowledge for Constructing Useable Empirical Causal Knowledge: Two Experiments on Pre-schoolers. - Patricia W. Cheng; Catherine M. Sandhofer; Mimi Liljeholm (Cogn. Sci., 2022)

Promoting Climate Actions: Applying a cognitive constraints approach. - Emily Wong; Patricia W. Cheng; Junho Lee (CogSci, 2023)