000			01287nam a22001577a 4500
999			_c519099 _d519099
008			220127b ||||| |||| 00| 0 eng d
100			_aKhosrowi, Donal _931992
245			_aWhen experiments need models
260			_aPhilosophy of the Social Sciences
300			_a51(4), Jul, 2021: p.400-424
520			_aThis paper argues that an important type of experiment-target inference, extrapolating causal effects, requires models to be successful. Focusing on extrapolation in Evidence-Based Policy, it is argued that extrapolation should be understood not as an inference from an experiment to a target directly, but as a hybrid inference that involves experiments and models. A general framework, METI, is proposed to capture this role of models, and several benefits are outlined: (1) METI highlights epistemically significant interactions between experiments and models, (2) reconciles some differences among existing accounts of experiment-target relationships, and (3) facilitates critical appraisal of inferential practices from experiments. – Reproduced
650			_aExperiments, Models, Experiment-target inference, Extrapolation, External validity, Evidence-based policy _929333
773			_aPhilosophy of the Social Sciences
906			_aEXPERIMENTS
942			_cAR