Distinguishability analysis for assessing larger groups of expert data: the case of larger groups of 'average' experts
收藏DataCite Commons2023-06-13 更新2025-04-17 收录
下载链接：
https://zivahub.uct.ac.za/articles/dataset/Distinguishability_analysis_for_assessing_larger_groups_of_expert_data_the_case_of_larger_groups_of_average_experts/22363069/1
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资源简介：
The purpose of this data file is to consider whether adding more minerals design experts to the analysis is likely to improve the distinguishability of results. It does this by considering how many hypothetical 'ideal' experts, giving exactly average ratings, would move a criterion from being indistinguishable, on average, to being distinguishable.
提供机构：
University of Cape Town
创建时间：
2023-06-13
