调解
因果推理
推论
阐述(叙述)
机制(生物学)
背景(考古学)
心理学
计算机科学
认知心理学
数据科学
认识论
社会心理学
人工智能
计量经济学
社会学
数学
社会科学
古生物学
艺术
哲学
文学类
生物
作者
John G. Bullock,Donald P. Green,Shang E. Ha
摘要
Psychologists increasingly recommend experimental analysis of mediation. This is a step in the right direction because mediation analyses based on nonexperimental data are likely to be biased and because experiments, in principle, provide a sound basis for causal inference. But even experiments cannot overcome certain threats to inference that arise chiefly or exclusively in the context of mediation analysis-threats that have received little attention in psychology. The authors describe 3 of these threats and suggest ways to improve the exposition and design of mediation tests. Their conclusion is that inference about mediators is far more difficult than previous research suggests and is best tackled by an experimental research program that is specifically designed to address the challenges of mediation analysis.
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