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Bayesian Mindsponge Framework

Author

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  • Nguyen, Minh-Hoang
  • Le, Tam-Tri

Abstract

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.

Suggested Citation

  • Nguyen, Minh-Hoang & Le, Tam-Tri, 2021. "Bayesian Mindsponge Framework," OSF Preprints b4uny, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:b4uny
    DOI: 10.31219/osf.io/b4uny
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    References listed on IDEAS

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    1. Vuong, Quan-Hoang, 2016. "Global Mindset as the Integration of Emerging Socio-Cultural Values Through Mindsponge Processes," OSF Preprints c3jza, Center for Open Science.
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    Cited by:

    1. Vuong, Quan-Hoang & Le, Tam-Tri & Quang-Loc, Nguyen & Nguyen, Minh-Hoang, 2021. "Investigation into the rationale of migration intention due to air pollution integrating the Homo Oeconomicus traits," OSF Preprints zxg83, Center for Open Science.
    2. Nguyen, Minh-Hoang, 2021. "How long did it take to get to the inflection point?," OSF Preprints ux8nt, Center for Open Science.
    3. Quy Van Khuc & Minh-Hoang Nguyen & Tam-Tri Le & Truc-Le Nguyen & Thuy Nguyen & Hoang Khac Lich & Quan-Hoang Vuong, 2022. "Brain Drain out of the Blue: Pollution-Induced Migration in Vietnam," IJERPH, MDPI, vol. 19(6), pages 1-20, March.

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