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causal inference in the social sciences社会科学中的因果推论精品
Causal Inference in the Social Sciences:
Variance Theory, Process Theory, and System Dynamics
Don R. Morris
Miami-Dade County Public Schools
1500 Biscayne Blvd., Ste. 225, Miami, Florida 33132
Tel: 1 305 995 7531 / Fax: 1 305 995 7521
donr.morris@worldnet.att.net
The social sciences are in need of an alternative to the variance approach to causal
inference, which—because it requires a counterfactual—restricts the claim of valid
inference to conclusions drawn from experimental and quasi-experimental methods.
Process theory proposes an alternative by way of demonstrating the presence of
observable characteristics of the causal mechanism, a method that, while accepted in
principle, has proven elusive in practice. It is suggested that system dynamics can
improve the process approach, and in so doing open a path for itself to wider application
in the social sciences. Educational research is suggested as a place to start, and results
from two models drawn on topics from that field are offered as examples.
Keywords: causal mechanism; causal process; educational research; modus operandi;
nonexperimental methods; program theory
I have read with much interest Nelson Repenning ’s (2003) account of his experiences in
trying to introduce system dynamics to the other social sciences. I am encouraged by his
attempts, and impressed by his candor. The rejection of contributions to the journals of
the various social sciences is something many have experienced, even while articles by
their own members embrace
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