This paper investigates the boundaries of the recent result that eliciting more than one estimate from the same person and averaging these can lead to accuracy gains in judgment tasks. It first examines its generality, analysing whether the kind of question being asked has an effect on the size of potential gains. Experimental results show that the question type matters. Previous results reporting potential accuracy gains are reproduced for year-estimation questions, and extended to questions about percentage shares. On the other hand, no gains are found for general numerical questions. The second part of the paper tests repeated judgment sampling's practical applicability by asking judges to provide a third and final answer on the basis of...
Weighted aggregation of expert judgements based on their performance on calibration questions may im...
Recently, Vul and Pashler (2008) demonstrated that the average of 2 responses from a single subject ...
A recent paper by Nam et al. (Accred Qual Assur 14:43–47, 2009) considers the issue of repeated me...
The average probability estimate of J> 1 judges is generally better than its components. Two stud...
Courts and authors have suggested that, under certain circumstances, claim aggregation—and statistic...
Abstract It is commonly recognised that the Wisdom of Crowds [1...
Recent work has demonstrated the benefits of repeated judgments in improving the accuracy of estimat...
Frequently, a researcher has the option of having each S rated on a variable by several judges rathe...
Galton (1907) first demonstrated the "wisdom of crowds" phenomenon by averaging independent estimate...
The quality of decisions depends on the accuracy of estimates of relevant quantities. According to t...
An experiment is reported in which subjects assigned probabilities to the outcomes of basketball gam...
We investigate decision-making in the Judge-Advisor-System where one person, the ``judge'', wants to...
We apply the principles of the ``Wisdom of Crowds (WoC)'' to improve the calibration of interval est...
People often make quantitative predictions (e.g., college GPA) on the basis of contradictory cues (e...
Individuals sometimes repeatedly perform a judgment task using a given set of cues. Then one or more...
Weighted aggregation of expert judgements based on their performance on calibration questions may im...
Recently, Vul and Pashler (2008) demonstrated that the average of 2 responses from a single subject ...
A recent paper by Nam et al. (Accred Qual Assur 14:43–47, 2009) considers the issue of repeated me...
The average probability estimate of J> 1 judges is generally better than its components. Two stud...
Courts and authors have suggested that, under certain circumstances, claim aggregation—and statistic...
Abstract It is commonly recognised that the Wisdom of Crowds [1...
Recent work has demonstrated the benefits of repeated judgments in improving the accuracy of estimat...
Frequently, a researcher has the option of having each S rated on a variable by several judges rathe...
Galton (1907) first demonstrated the "wisdom of crowds" phenomenon by averaging independent estimate...
The quality of decisions depends on the accuracy of estimates of relevant quantities. According to t...
An experiment is reported in which subjects assigned probabilities to the outcomes of basketball gam...
We investigate decision-making in the Judge-Advisor-System where one person, the ``judge'', wants to...
We apply the principles of the ``Wisdom of Crowds (WoC)'' to improve the calibration of interval est...
People often make quantitative predictions (e.g., college GPA) on the basis of contradictory cues (e...
Individuals sometimes repeatedly perform a judgment task using a given set of cues. Then one or more...
Weighted aggregation of expert judgements based on their performance on calibration questions may im...
Recently, Vul and Pashler (2008) demonstrated that the average of 2 responses from a single subject ...
A recent paper by Nam et al. (Accred Qual Assur 14:43–47, 2009) considers the issue of repeated me...