A Double-Slit Experiment with Human Subjects

Version
2
Resource Type
Dataset
Creator
  • Duffy, John (University of California-Irvine)
  • Loch-Temzelides, Ted (Rice University)
Publication Date
2020-12-26
Funding Reference
  • University of California-Irvine School of Social Sciences
Description
  • Abstract

    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.
Availability
Download
This study is freely available to the general public via web download.
Relations
  • Is version of
    DOI: 10.3886/E120284

Update Metadata: 2020-12-27 | Issue Number: 1 | Registration Date: 2020-12-27