Back to search

Article

Methodological Remarks Regarding Optimal Stopping Tasks and the Implications for Sampling Biases

2021-09-14

Abstract excerpt

<p>This paper investigates a type of optimal stopping problem where options are presented in sequence and, once an option has been rejected, it is impossible to go back to it. With previous research finding mixed results of undersampling and oversampling biases on these kinds of optimal stopping tasks, the question remaining is what causes people to sample too much or too little compared to models of optimality? I...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
38f3493c-881d-5aac-b950-78ebf64d5fc6
DOI
10.31234/osf.io/5j74d
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Methodological Remarks Regarding Optimal Stopping Tasks and the Implications for Sampling BiasesDOI 10.31234/osf.io/5j74d
Select a neighboring publication to make it the new centre.