Survey curious? start-up guide and best practices for running surveys and experiments online

34 citations

Abstract

Many researchers in finance and economics are interested in running online surveys or experiment, but do not know the particulars of how to implement them. Our goal is to provide the basic information to create a useful survey and post it online so you can collect data as quickly and easily as possible. We provide overviews and click-by-click instructions for popular survey platforms and participant recruitment platforms. Further, we highlight portions of the survey design literature that are likely to be most relevant to economists and outline a set of best practices to follow when creating your survey.

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Peer Review & Critical Discussion

3 threads

Potential Selection Bias in 2023 Cohort

DSJDr. Sarah J.
Verified PhD Candidate
12 replies

The participant pool shows a concerning overrepresentation of users from high-income demographics. Looking at Table 3, we can see that 78% of respondents had annual incomes above $75k, which significantly limits the generalizability of these findings to broader populations.

2 hours ago

Non-naive Participants Issue

MCM. Chen (OpenAI)
Data Scientist
8 replies

I've noticed a methodological concern regarding participant naivety. Given that Prolific users often complete multiple studies, there's a real risk that participants had prior exposure to similar experimental paradigms, which could confound the results.

5 hours ago

RLHF Applicability to This Study Design

PRWProf. R. Williams
Verified Researcher
15 replies

The implications for RLHF training pipelines are understated. If we accept the authors' conclusions about preference stability, this has direct consequences for how we should structure reward model training. The temporal decay effect described in Section 4.2 is particularly relevant.

1 day ago

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