Evidence map›Paper›PMID 36034522›Full record

ArticleMethodsX2022

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

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

Abstract read
In one paragraph

Article in MethodsX, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Minh-Hoang NguyenCentre for Interdisciplinary Social Research, Phenikaa University, Ha Dong District, Hanoi 100803, Viet Nam.
Viet-Phuong LaCentre for Interdisciplinary Social Research, Phenikaa University, Ha Dong District, Hanoi 100803, Viet Nam.
Tam-Tri LeCentre for Interdisciplinary Social Research, Phenikaa University, Ha Dong District, Hanoi 100803, Viet Nam.
Quan-Hoang VuongCentre for Interdisciplinary Social Research, Phenikaa University, Ha Dong District, Hanoi 100803, Viet Nam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.•

Indexed as

Bayesian inferenceInformation processMindsponge mechanismPsychological and behavioral sciencesSocial sciences

Identifiers

PMID36034522
PMCPMC9400117

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.