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Yidou Wan

萬一豆

Psychology PhD Candidate|Texas A&M University

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About

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Yidou Wan earned his Bachelor of Science in Psychology at the University of North Carolina at Chapel Hill in 2016, and he is expecting to earn his PhD at Texas A&M University in 2021. His recent research projects include "Romantic love and impulsivity," "Decision delegation in system design," and "Meta-analyses: the role of expertise on replication studies."

His philosophy of teaching is to create an active and stimulating learning environment for students. His goal is to help students interact with each other and with the instructor frequently and confidently. He focuses on making curriculum materials to be relevant and useful to students’ daily experience.

Teaching Experience

Social Psychology (Psyc-315)

38 students enrolled (Honor course)

in progress

Introduction to Psychology (Psyc-107)

215 students enrolled

Instructor rating: 4.77/5.00 (department average of 4.55)

Overall rating: 4.59/5.00 (department average of 4.47)

Introduction to Psychology (Psyc-107)

50 students enrolled

Instructor rating: 4.71/5.00 (department average of 4.56)

Overall rating: 4.60/5.00 (department average of 4.49)

Education

Texas A&M University

2021

PhD in Psychology (Advisor: Heather C. Lench )

Research interests:

University of North Carolina at Chapel Hill

2016

Bachelor of Science in Psychology

Projects

Meta-Analysis: Evaluating the Role of Expertise in Replications

In this meta-analysis, we examine the degree to which the expertise of the replication team influences the size of effects in replication and original studies.

Love and Impulsivity

The experience of romantic love is associated with impulsivity and risk-taking behavior. However, romantic love includes two discrete components: sexual desire and romance. This study is to examine whether different types of love affect people's impulsivity differently.

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Decision delegation during systems design

The research objective of this project is to create a new behaviorally-informed modeling framework for decision delegation processes that occur during systems design by combining the mathematics of principal-agent theory with new empirical results about human judgment and decision-making behavior.

Affective forecasting

People try to make decisions that will improve their lives and make them happy, and to do so, they rely on affective forecasts–predictions about how future outcomes will make them feel. his investigation tested a model of affective forecasting that captures this variability in bias by differentiating emotional intensity, emotional frequency, and mood.

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Skills

Contact Information

yidouwan@gmail.com