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Bayesian Mindsponge Framework

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    Bayesian Mindsponge Framework (BMF, also known as Bayesian Mindsponge analytical approach) is an analytical approach that employs the mindsponge information-processing mechanism and Bayesian analysis (e.g. bayesvl package) as each other’s complement to conduct cognitive and psychological research.

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  • , 2021. "Bayesian Mindsponge Framework," OSF Preprints b4uny_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:b4uny_v1
    DOI: 10.31219/osf.io/b4uny_v1
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    1. Minh-Hoang Nguyen & Tam-Tri Le & Hong-Kong To Nguyen & Manh-Toan Ho & Huyen T. Thanh Nguyen & Quan-Hoang Vuong, 2021. "Alice in Suicideland: Exploring the Suicidal Ideation Mechanism through the Sense of Connectedness and Help-Seeking Behaviors," IJERPH, MDPI, vol. 18(7), pages 1-24, April.
    2. Quan-Hoang Vuong, 2018. "The (ir)rational consideration of the cost of science in transition economies," Nature Human Behaviour, Nature, vol. 2(1), pages 5-5, January.
    3. Monya Baker, 2016. "1,500 scientists lift the lid on reproducibility," Nature, Nature, vol. 533(7604), pages 452-454, May.
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