
Social factors and health: the causation-selectionissue revisited.
Author(s) -
Noreen Goldman
Publication year - 1994
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.91.4.1251
Subject(s) - causation , selection (genetic algorithm) , causal inference , causality (physics) , observational study , psychology , data science , social psychology , epistemology , computer science , medicine , artificial intelligence , economics , econometrics , philosophy , physics , pathology , quantum mechanics
Since social scientists rarely have access toexperimental data, they rely heavily upon observational studies. As aconsequence, their attempts to make causal inferences about the effects ofsocial factors--such as occupation or marital status--on health are plagued bypotential selection problems. Some researchers have addressed thisselection-causation problem on the basis of the presence or absence of aparticular aggregate pattern of health status. The rationale underlying thisapproach derives from the investigators' hypotheses that the presence ofselection would lead to a particular type of pattern that is distinct from thepattern that would result in the absence of selection. Although intuitivelyappealing, this strategy appears to be seriously flawed. The essential weaknessis that the range of patterns that can result from selection is often muchbroader than researchers have speculated.