Goldman N
Office of Population Research, Princeton University, NJ 08544.
Proc Natl Acad Sci U S A. 1994 Feb 15;91(4):1251-5. doi: 10.1073/pnas.91.4.1251.
Since social scientists rarely have access to experimental data, they rely heavily upon observational studies. As a consequence, their attempts to make causal inferences about the effects of social factors--such as occupation or marital status--on health are plagued by potential selection problems. Some researchers have addressed this selection-causation problem on the basis of the presence or absence of a particular aggregate pattern of health status. The rationale underlying this approach derives from the investigators' hypotheses that the presence of selection would lead to a particular type of pattern that is distinct from the pattern that would result in the absence of selection. Although intuitively appealing, this strategy appears to be seriously flawed. The essential weakness is that the range of patterns that can result from selection is often much broader than researchers have speculated.
由于社会科学家很少能够获取实验数据,他们严重依赖观察性研究。因此,他们试图对社会因素(如职业或婚姻状况)对健康的影响进行因果推断时,会受到潜在选择问题的困扰。一些研究人员基于健康状况的特定总体模式的存在与否来解决这种选择与因果关系的问题。这种方法背后的基本原理源于研究人员的假设,即选择的存在会导致一种特定类型的模式,这种模式与不存在选择时所产生的模式不同。尽管这种策略直观上很有吸引力,但似乎存在严重缺陷。其根本弱点在于,选择可能导致的模式范围往往比研究人员推测的要广泛得多。