合作伙伴偏好研究中的碰撞体偏差： Eastwick等方法的扩展（2024年）

Observational research on partner preference-matching commonly conditions on a sample of (most desired) partners. When examined through the lens of causal inference, this configuration constitutes conditioning on a collider variable. This thesis introduces and applies directed acyclic graphs (DAGs) as a framework for assessing corresponding collider bias within the large-scale cross-cultural dataset of Eastwick et al. (2024, N = 10,358, 43 countries). Building on this, a three-layer methodological framework is developed to distinguish three distinct sources of bias: confounding by measured bac