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Overall, the social discussions reflect a cautious curiosity, with many posters highlighting the novelty of the data-driven approach and its potential significance, using words like 'robust,' 'new research,' and 'big data,' which convey both interest and recognition of the study's relevance.
The discussions show mixed reactions, with some acknowledging the robustness of the data-driven approach but others questioning its broader implications.
Participants are generally interested, especially in the novelty of identifying four personality types across large datasets, indicated by phrases like 'new research' and 'big data.'
The engagement appears moderate; some posts cite the study directly and discuss methodology, but few delve deeply into critique or detailed analysis.
The discussions suggest moderate impact, with mentions of the research being a 'game changer' and references to its relevance in psychology and data science, indicating recognition of its significance.
（メモ）ヒトの性格の分類について、話はそう、単純ではないらしい。＞＞＞A robust data-driven approach identifies four personality types across four large data sets. https://t.co/Pgbkdaa3fv
New Research: Commentary: A robust data-driven approach identifies four personality types across four large data sets https://t.co/kI0FrTXuvz #BigData
A robust data-driven approach identifies four personality types across four large data sets https://t.co/8EWgPi5yWZ
RT @sendaitribune: （メモ）ヒトの性格の分類について、話はそう、単純ではないらしい。＞＞＞A robust data-driven approach identifies four personality types across four large dat…
A robust data-driven approach identifies four personality types across four large data sets | Nature Human Behaviour https://t.co/eMU93hBF3m
@PaisleyJanine @RageSheen “A robust data-driven approach identifies four personality types across four large data sets” Gerlach et al, Nature Human Behaviour, 2018 https://t.co/xdIIaEIQh8
Companies lose billions making poor decisions in meetings. This video explores scientific studies explaining why this happens and actions to enhance decision-making.
Companies lose billions due to poor decisions in meetings. This video explains why this happens based on scientific studies and offers strategies to enhance decision quality.
Companies lose billions through poor decisions in meetings. Learn how scientific studies can improve decision-making processes, promote correct thinking, and foster effective cultural norms for better meeting outcomes.
@PaisleyJanine @RageSheen “A robust data-driven approach identifies four personality types across four large data sets” Gerlach et al, Nature Human Behaviour, 2018 https://t.co/xdIIaEIQh8
A robust data-driven approach identifies four personality types across four large data sets | Nature Human Behaviour https://t.co/eMU93hBF3m
이는 과학자들이 발표한 최초의 성격유형 연구 사례다. 관련 논문은 과학저널 ‘네이처 인간 행동(Nature Human Behavior)’에 게재됐다. 논문 제목은 ‘A robust data-driven approach identifies four personality types across four large data sets’. https://t.co/OpcN62jxwl
A robust data-driven approach identifies four personality types across four large data sets https://t.co/BBM475pGO8 #IOPsych #psychology #science #research #DataDriven
RT @FrontAIBigData: New Research: Commentary: A robust data-driven approach identifies four personality types across four large data sets h…
New Research: Commentary: A robust data-driven approach identifies four personality types across four large data sets https://t.co/kI0FrTXuvz #BigData
A robust data-driven approach identifies four personality types across four large data sets https://t.co/Q2zbMfrAFT
RT @sendaitribune: （メモ）ヒトの性格の分類について、話はそう、単純ではないらしい。＞＞＞A robust data-driven approach identifies four personality types across four large dat…
（メモ）ヒトの性格の分類について、話はそう、単純ではないらしい。＞＞＞A robust data-driven approach identifies four personality types across four large data sets. https://t.co/Pgbkdaa3fv
A robust data-driven approach identifies four personality types across four large data sets https://t.co/8EWgPi5yWZ