A Double-Slit Experiment with Human Subjects

Principal Investigator(s):  View help for Principal Investigator(s) John Duffy, University of California-Irvine; Ted Loch-Temzelides, Rice University

Version:  View help for Version V4

Name File Type Size Last Modified
DSMainData.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 649.6 KB 01/25/2021 10:24:AM
DSRobustnessData.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 222.7 KB 01/24/2021 11:09:AM
Readme.txt text/plain 419 bytes 01/24/2021 11:14:AM

Project Citation: 

Duffy, John, and Loch-Temzelides, Ted. A Double-Slit Experiment with Human Subjects. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-01-25. https://doi.org/10.3886/E120284V4

Project Description

Summary:  View help for Summary We study a sequence of “double-slit” experiments designed to perform repeated measurements of an attribute in a large pool of subjects using Amazon’s Mechanical Turk. Our findings contrast the prescriptions of decision theory in novel and interesting ways. The response to an identical sequel measurement of the same attribute can be at significant variance with the initial measurement. Furthermore, the response to the sequel measurement depends on whether the initial measurement has taken place. In the absence of the initial measurement, the sequel measurement reveals additional variability, leading to a multimodal frequency distribution reminiscent of an interference pattern, which is largely absent if the first measurement has taken place.
Funding Sources:  View help for Funding Sources University of California-Irvine School of Social Sciences



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V4 [2021-01-25]

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