@inbook{3e05b9d806f2417e8b7b84ba2f00f8d6,
title = "Dealing with imperfect elicitation results",
abstract = "The trial-and-roulette method is a popular method to extract experts{\textquoteright} beliefs about a statistical parameter. However, most studies examining the validity of this method only use {\textquoteleft}perfect{\textquoteright} elicitation results. In practice, it is sometimes hard to obtain such neat elicitation results. In our project about predicting fraud and questionable research practices among Ph.D. candidates, we ran into issues with imperfect elicitation results. The goal of the current chapter is to provide an overview of the solutions we used for dealing with these imperfect results, so that others can benefit from our experience. We present information about the nature of our project, the reasons for the imperfect results and how we resolved these supported by annotated R-syntax.",
author = "\{van de Schoot\}, R. and E. Griffioen and Winter, \{S. D.\}",
year = "2021",
month = feb,
day = "20",
doi = "10.1007/978-3-030-46474-5\_18",
language = "English",
isbn = "978-3-030-46473-8",
series = "International Series in Operations Research \& Management Science",
publisher = "Springer",
pages = "401--417",
editor = "Hanea, \{Anca M. \} and Nane, \{Gabriela F.\} and Bedford, \{Tim \} and Simon French",
booktitle = "Expert Judgement in Risk and Decision Analysis",
edition = "1",
}