Abstract

Elicitation methods aim to build participants' distributions about a parameter of interest. In most elicitation studies this parameter is rarely known in advance and hinders an objective comparison between elicitation methods. In two experiments, participants were first presented with a fixed random sequence of images and numbers and subsequently their subjective distributions of percentages of one of those numbers was elicited. Importantly, the true percentage was set in advance. The first experiment tested whether receiving instructions as to the elicitation method would assist in estimating a true value more accurately than receiving no instructions and whether accuracy was determined by the numerical skills of the participants. The second experiment sought to compare the elicitation method used in the first experiment with a variation of a graphical elicitation method. The results indicate that (i) receiving instructions as to the elicitation method does assist in producing estimates closer to a true percentage value, (ii) the level of numerical skills does not play a part in the accuracy of the estimation (Experiment 1), and (iii) although the average estimates of the betting and graphical method are not significantly different, the betting method leads to more precise estimations than the graphical method (Experiment 2). Both studies featured statistical procedures (functional data analysis and a novel clustering technique) not considered in past research on the elicitation of subjective distributions. The implications of these results are discussed in relation to a recent key study.

Highlights

  • “The objective world is no more than a reflection of any person” (Tomás Carrasquilla, 1915)1

  • Participants in the I and NI groups were informed they would see a random sequence of numbers and images and their task was to determine the percentage of times that the number one appeared

  • A test of the difference between the average values of the I and the NI groups was carried out by calculating the median value in each participant’s distribution of percentages, and performing a Welch t-test comparing the means of the two resulting distributions

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Summary

INTRODUCTION

“The objective world is no more than a reflection of any person” (Tomás Carrasquilla, 1915). The only possibility is to work with an informative prior distribution, for example, in cases where sample data is unavailable, or the event will occur just once in a life One illustration of this situation is the determination of the probability that an asteroid destroys the earth. Obtaining prior information is a very complex procedure that requires quantifying the knowledge of one or several participants in the area under study in order to build personal prior distributions (O’Hagan et al, 2006) Both the process of extracting information from the person’s mind and the quantification of it are further affected by factors that increase the complexity of these procedures. The group who received elicitation instructions in order to detect if participants with different degrees of mathematical and/or statistical skills produce distributions of percentages that better capture the parameter of interest (Experiment 1).

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