杨向东

• 1:美国堪萨斯大学教育测量与评价中心

摘要(Abstract)：

对因果关系的推断是教育评价中的核心问题之一。本文结合西方有关领域对该问题的研究,分析了教育评价中存在的各种类型的因果关系以及因果关系推断中的基本问题。然后,文章介绍了 Rubin 的因果推理模型,并分析了如何在实验研究和观测研究中进行因果关系的推断。在指出推断因果关系在回答某些教育评价问题中的不足之后,文章还讨论了如何去推断事情发生发展的因果机制。本文最后讨论了因果关系的推广以及现实教育现象中因果关系复杂性的INUS条件。

关键词(KeyWords)： 因果关系;因果关系推断的基本问题;Rubin 的因果推理模型;INUS 条件

Abstract:

Keywords:

基金项目(Foundation): 钟启泉教授主持的教育部哲学社会科学研究重大课题攻关项目“素质教育课程评价体系研究”(批准号:04JZD00025)阶段性成果之一

作者(Author): 杨向东

参考文献(References)：

• [1] Holland,P.W.(2005) .Making sense of causal inference in program evaluation and policy research.Paper presented at NCME annual meeting,Montreal,CA.
• [2] [4] [5] Holland,P.W.(1986) .Statistics and causal inference.Journal of the American Statistical Association.81,945-960．
• [3] [17] [20] Reichardt,C.S.,& Mark,M.M.(1998) .Quasi-experimentation.In L.Bickman & D.J.Rog.(eds.)Handbook of applied social research methods.(pp.193-228) .Thousand Oaks,CA:Sage.
• [6] Rubin,D.B.(1974) .Estimating causal effects of treatments in randomized and nonrandomized studies.Journal of Educational Psychology,66,688-701．
• [7] Rubin,D.B.(1978) .Bayesian inference for Causal effects:The role of randomization.The Annals of Statistics,6,34-58．
• [8] [14] Rubin,D.B.(1990) .Formal modes of statistical inference for Causal effects.Journal of Statistical Planning and Inference,25,279-292．
• [9] Rubin,D.B.(2000) .The utility of counterfactuals for Causal inference.Comment on A.P.Dawid,‘Causal inference without countefactuals’Journal of the American Statistical Association,95,435-438．
• [10] Rubin,D.B.(2005) .Causal inference using potential outcomes:Design,modeling,decisions.2004 Fisher Lecture.Journal of the American Statistical Association,100,322-331．
• [11] Imbens,G.W.,& Rubin,D.B.(2006) .Causal Inference in Statistics and the Medical and Social Sciences.Cambridge University Press,Cambridge,UK.
• [12] Little,R.J.,& Rubin,D.B.(2002) .Statistical Analysis with Missing Data.2nd ed.Wiley,New York.
• [13] Rubin,D.B.(1980) .Comment on“Randomization analysis of experimental data:The Fisher randomization test”by D.Baau.Journal of the American Statistical Association,75,591-593．
• [15] Coehrsn,W.G.(1968) .The effectiveness of adjustment by subclassification in removing bias in observational studies.Biometrics,24,295-313．
• [16] Rosenbaum,P.R.,& Rubin,D.B.(1983) .The central role of the propensity score in observational studies for causal effects.Biometrics,70,41-55． Rosenbaum,P.R.(2002) .Observational Studies.2nd ed.Springer,New York.
• [18] Bollen,K.A.(1989) .Structural equations with latent variables.New York,NY:Wiley.
• [19] Mackie,J.L.(1965) .Causes and conditions.American Philosophical Quarterly,2,245-255,261-264．