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・ Consensus dynamics
・ Consensus Economics
・ Consensus error grid
・ Consensus forecast
・ Consensus government in Canada
・ Consensus history
・ Consensus model (criminal justice)
・ Consensus Model for APRN Regulation
・ Consensus reality
・ Consensus sequence
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・ Consensus theorem
・ Consensus theory
・ Consensus theory of truth
・ Consensus Tigurinus
Consensus-based assessment
・ Consensus-seeking decision-making
・ ConsensusPathDB
・ Consensus–expectations gap
・ Consent
・ Consent (BDSM)
・ Consent (criminal law)
・ Consent decree
・ Consent management
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・ Consent of the Networked
・ Consent procedure
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・ Consent theory
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Consensus-based assessment : ウィキペディア英語版
Consensus-based assessment
Consensus-based assessment expands on the common practice of consensus decision-making and the theoretical observation that expertise can be closely approximated by large numbers of novices or journeymen. It creates a method for determining measurement standards for very ambiguous domains of knowledge, such as emotional intelligence, politics, religion, values and culture in general. From this perspective, the shared knowledge that forms cultural consensus can be assessed in much the same way as expertise or general intelligence.
== Measurement standards for general intelligence ==

Consensus-based assessment is based on a simple finding: that samples of individuals with differing competence (e.g., experts and apprentices) rate relevant scenarios, using Likert scales, with similar mean ratings. Thus, from the perspective of a CBA framework, cultural standards for scoring keys can be derived from the population that is being assessed. Peter Legree and Joseph Psotka, working together over the past decades, proposed that psychometric ''g'' could be measured unobtrusively through survey-like scales requiring judgments. This could either use the deviation score for each person from the group or expert mean; or a Pearson correlation between their judgments and the group mean. The two techniques are perfectly correlated. Legree and Psotka subsequently created scales that requested individuals to estimate word frequency; judge binary probabilities of good continuation; identify knowledge implications; and approximate employment distributions. The items were carefully identified to avoid objective referents, and therefore the scales required respondents to provide judgments that were scored against broadly developed, consensual standards. Performance on this judgment battery correlated approximately 0.80 with conventional measures of psychometric ''g''. The response keys were consensually derived. Unlike mathematics or physics questions, the selection of items, scenarios, and options to assess psychometric ''g'' were guided roughly by a theory that emphasized complex judgment, but the explicit keys were unknown until the assessments had been made: they were determined by the average of everyone's responses, using deviation scores, correlations, or factor scores.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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