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贝叶斯思维海绵框架分析简介:一种用于社会和心理研究的创新方法。

Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research.

作者信息

Nguyen Minh-Hoang, La Viet-Phuong, Le Tam-Tri, Vuong Quan-Hoang

机构信息

Centre for Interdisciplinary Social Research, Phenikaa University, Ha Dong District, Hanoi 100803, Viet Nam.

AISDL, Vuong & Associates, Dong Da, Hanoi 100000, Viet Nam.

出版信息

MethodsX. 2022 Aug 5;9:101808. doi: 10.1016/j.mex.2022.101808. eCollection 2022.

Abstract

The paper introduces Bayesian Mindsponge Framework (BMF) analytics, a new analytical tool for investigating socio, psychological, and behavioral phenomena. The strengths of this method derive from the combination of the mindsponge mechanism's conceptual formulation power and Bayesian analysis's inferential advantages. The BMF-based research procedure includes six main steps, in which the mindsponge-based conceptualization and model construction is the key step that makes the method unique. Therefore, we elaborate on the fundamental components and functions of the mindsponge mechanism and summarize them into five memorable principles so that other researchers can capitalize directly. An exemplary analysis was performed using a dataset of 3071 Vietnamese entrepreneurs' decisiveness and perceptions of the likelihood of success/continuity to validate the method.•••

摘要

本文介绍了贝叶斯思维海绵框架(BMF)分析,这是一种用于研究社会、心理和行为现象的新型分析工具。该方法的优势源于思维海绵机制的概念构建能力与贝叶斯分析的推理优势的结合。基于BMF的研究程序包括六个主要步骤,其中基于思维海绵的概念化和模型构建是使该方法独具特色的关键步骤。因此,我们详细阐述了思维海绵机制的基本组成部分和功能,并将其总结为五条易于记忆的原则,以便其他研究人员能够直接加以利用。使用一个包含3071名越南企业家的果断性以及对成功/持续可能性的认知的数据集进行了一项示例性分析,以验证该方法。•••

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edd4/9400117/4f2265563ef8/ga1.jpg

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