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NEW UPDATE: Completed trials may now upload and register supplementary documents (e.g. null results reports, populated pre-analysis plans, or post-trial results reports) in the Post Trial section under Reports, Papers, & Other Materials.
Measurement and Survey Response
Last registered on March 31, 2020

Pre-Trial

Trial Information
General Information
Title
Measurement and Survey Response
RCT ID
AEARCTR-0004122
Initial registration date
April 19, 2019
Last updated
March 31, 2020 8:00 PM EDT
Location(s)
Region
Primary Investigator
Affiliation
University of California, Irvine
Other Primary Investigator(s)
Additional Trial Information
Status
On going
Start date
2019-04-03
End date
2020-06-30
Secondary IDs
Abstract
This project explores the impact of measurement on survey responses. We hypothesize that the very act of measuring survey responses can affect the distribution of those responses. We design and implement an experiment that mimics the famous double slit experiment of Thomas Young (1801) demonstrating wave-particle duality for light depending on whether its passage through double slits is subject to detection of which slit the light particle went through. In our experiment, subjects are asked to respond to a survey question by providing a numerical response on a given scale. In the control treatment, their numerical answer is recorded and reported back to participants. This is analogous to the physics experiment where a detector identifies the slit through which a particle went through. Alternatively, in a second treatment, we measure whether subjects' response "passes," through one of the slits but without eliciting information to identify which slit. In either treatment, subjects who "pass" through are then asked to consider the same survey question again and to provide a second numerical answer which is again recorded and reported back to subjects. More precisely, the main treatment modifies the control treatment in one important respect. Subjects are asked to “think” about their numerical response to the same survey question posed in the control treatment and to hold that number in memory. Their response to the survey question is NOT directly measured/observed. Instead, they are then asked whether their numerical answer lies within the two subsets of answers used in the control treatment (the two slits). If it is, then, as in the control treatment, they will be asked to evaluate the survey question once again, and in this second instance, their answers to the question will be recorded and reported back to them. We hypothesize that, like light (and other subatomic particles), survey responses by subjects in our main treatment, where survey questions are not directly measured tin the first round measurement, will display a wave-like interference pattern in the second round measurement. We also hypothesize that such an interference pattern will not be observed in our control treatment, where survey answers are directly measured to determine which slit the subjects responses pass through.
External Link(s)
Registration Citation
Citation
Duffy, John. 2020. "Measurement and Survey Response." AEA RCT Registry. March 31. https://doi.org/10.1257/rct.4122-1.2000000000000002.
Former Citation
Duffy, John. 2020. "Measurement and Survey Response." AEA RCT Registry. March 31. http://www.socialscienceregistry.org/trials/4122/history/65286.
Experimental Details
Interventions
Intervention(s)
We will randomly assign subject participants to the control or to the treatment group.
Intervention Start Date
2019-04-22
Intervention End Date
2020-06-30
Primary Outcomes
Primary Outcomes (end points)
The key outcome variable is the distribution of survey responses that pass through the two slits.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
In a control treatment, subjects will be asked to respond to a survey question using a numerical scale. Their answer will be measured/observed. Depending on the response that they give (whether they pass through the slit) they will or will not be asked to answer the same question again. If they are asked to respond to the same survey question a second time, their answer to that question will also be measured/observed. if not, there is no further action for them to take. After answering the second question, if asked to do so, they proceed to answer several survey questions regarding their age, gender, race and postal code. Then, the survey is over.

In the main treatment, subjects will be asked to think about their response to the same survey question posed in the control treatment, but their response to this question will NOT be directly measured/observed. Instead, they will be asked if their response was in a certain range of values (the two slit ranges) without indicating which slit or the precise numerical value of their answer. If they indicate that their response was in one of the two specified slit ranges, then they will next be asked to again consider the same survey question and this time to provide a numerical answer that is measured/observed. If their initial response to the survey question was outside the values of the two slits, the question is not asked a second time. After subjects have considered their answer to the survey question and addressed the survey question a second time, depending on their initial response, they then proceed to answer several demographic questions.
Experimental Design Details
Randomization Method
Subjects are randomly assigned to either treatment by the computer program. Subjects only participate in a single treatment
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
1, Mturk North America population
Sample size: planned number of observations
1000 or more depending on budget constraints
Sample size (or number of clusters) by treatment arms
We will aim to have approximately equal numbers of observations in both our control and main treatment sessions.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
UC Irvine Institutional Review Board
IRB Approval Date
2017-05-31
IRB Approval Number
HS#: 2017-3650
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS