Cultural Network Analysis

The purpose of this chapter is to describe a rigorous, end-to-end methodology for modeling culture as networks of ideas that are distributed among members of a population. The method, Cultural Network Analysis (CNA), represents an interdisciplinary synthesis of techniques drawn from the fields of cognitive anthropology, cultural and cognitive psychology, naturalistic decision making, and decision analysis. CNA is used to develop cultural models for groups and populations, typically depicted as a network representation of the culturally shared concepts, causal beliefs, and values that influence key decisions. CNA can be usefully employed for a variety of applications, including the design of tools to support multinational collaborative planning and decision making, the development of situated cultural training programs, and characterizing the cognition of target audiences to support strategic communications campaigns.

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Mapping biases to the components of rationalistic and naturalistic decision making

PsycEXTRA Dataset ◽

10.1037/e578652012-012 ◽

2010 ◽

Author(s):

Lisa A. Rehak ◽

Barb Adams ◽

Micheline Belanger

Keyword(s):

Decision Making ◽

Naturalistic Decision Making

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A New Methodology for Naturalistic Decision Making Research: Investigating Fire Officers' Decisions

PsycEXTRA Dataset ◽

10.1037/e683272011-086 ◽

1996 ◽

Author(s):

Jim McLennan ◽

Mary M. Omodei ◽

Alexander Wearing

Keyword(s):

Decision Making ◽

Naturalistic Decision Making

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Thirty Years of Human Rights Study in the Web of Science Database (1990–2020)

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18042131 ◽

2021 ◽

Vol 18 (4) ◽

pp. 2131

Author(s):

Priscilla Paola Severo ◽

Leonardo B. Furstenau ◽

Michele Kremer Sott ◽

Danielli Cossul ◽

Mariluza Sott Bender ◽

...

Keyword(s):

Mental Health ◽

Decision Making ◽

Human Rights ◽

Network Analysis ◽

Reproductive Health ◽

Web Of Science ◽

Health Issues ◽

Human Beings ◽

Field Of Study ◽

The Web

The study of human rights (HR) is vital in order to enhance the development of human beings, but this field of study still needs to be better depicted and understood because violations of its core principles still frequently occur worldwide. In this study, our goal was to perform a bibliometric performance and network analysis (BPNA) to investigate the strategic themes, thematic evolution structure, and trends of HR found in the Web of Science (WoS) database from 1990 to June 2020. To do this, we included 25,542 articles in the SciMAT software for bibliometric analysis. The strategic diagram produced shows 23 themes, 12 of which are motor themes, the most important of which are discussed in this article. The thematic evolution structure presented the 21 most relevant themes of the 2011–2020 period. Our findings show that HR research is directly related to health issues, such as mental health, HIV, and reproductive health. We believe that the presented results and HR panorama presented have the potential to be used as a basis on which researchers in future works may enhance their decision making related to this field of study.

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Exploring the Differences in Macrocognition Between Experts and Non-CHD Experts Managing Congenital Heart Disease (CHD)

Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care ◽

10.1177/2327857921101238 ◽

2021 ◽

Vol 10 (1) ◽

pp. 335-339

Author(s):

Azadeh Assadi ◽

Peter C. Laussen ◽

Patricia Trbovich

Keyword(s):

Decision Making ◽

Emergency Medicine ◽

Congenital Heart Disease ◽

Heart Disease ◽

Congenital Heart ◽

Pediatric Emergency ◽

Acute Management ◽

Naturalistic Decision Making ◽

The Face

Background and aims: Children with congenital heart disease (CHD) are at risk of deterioration in the face of common childhood illnesses, and their resuscitation and acute management is often best achieved with the guidance of CHD experts. Access to such expertise may be limited outside specialty heart centers and the fragility of these patients is cause for discomfort among many emergency medicine physicians. An understanding of the differences in macrocognition of these clinicians could shed light on some of the causes of discomfort and facilitate the development of a sociotechnological solution to this problem. Methods: Cardiac intensivists (CHD experts) and pediatric emergency medicine physicians (non-CHD experts) in a major academic cardiac center were interviewed using the critical decision method. Interview transcripts were coded deductively based on Klein’s macrocognitive framework and inductively to allow for new or modified characterization of dimensions. Results: While both CHD-experts and non-CHD experts relied on the macrocognitive functions of sensemaking, naturalistic decision making and detecting problems, the specific data and mental models used to understand the patients and course of therapy differed between CHD-experts and non-CHD experts. Conclusion: Characterization of differences between the macrocognitive processes of CHD experts and non-CHD experts can inform development of sociotechnological solutions to augment decision making pertaining to the acute management of pediatric CHD patients.

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A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18030952 ◽

2021 ◽

Vol 18 (3) ◽

pp. 952 ◽

Cited By ~ 1

Author(s):

Leonardo B. Furstenau ◽

Bruna Rabaioli ◽

Michele Kremer Sott ◽

Danielli Cossul ◽

Mariluza Sott Bender ◽

...

Keyword(s):

Decision Making ◽

Network Analysis ◽

Web Of Science ◽

Future Research ◽

Future Trends ◽

Damage Prevention ◽

Over Time ◽

The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

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Naturalistic Decision Making in High Performance Team Sport Coaching

International Sport Coaching Journal ◽

10.1123/iscj.2014-0118 ◽

2015 ◽

Vol 2 (2) ◽

pp. 152-168 ◽

Cited By ~ 3

Author(s):

Stephen Harvey ◽

John William Baird Lyle ◽

Bob Muir

Keyword(s):

Decision Making ◽

High Performance ◽

Recent Literature ◽

Critical Factors ◽

Naturalistic Decision Making ◽

Problem Framing ◽

Stimulated Recall ◽

Suitable Framework ◽

And Training

A defining element of coaching expertise is characterised by the coach’s ability to make decisions. Recent literature has explored the potential of Naturalistic Decision Making (NDM) as a useful framework for research into coaches’ in situ decision making behaviour. The purpose of this paper was to investigate whether the NDM paradigm offered a valid mechanism for exploring three high performance coaches’ decision-making behaviour in competition and training settings. The approach comprised three phases: 1) existing literature was synthesised to develop a conceptual framework of decision-making cues to guide and shape the exploration of empirical data; 2) data were generated from stimulated recall procedures to populate the framework; 3) existing theory was combined with empirical evidence to generate a set of concepts that offer explanations for the coaches’ decision-making behaviour. Findings revealed that NDM offered a suitable framework to apply to coaches’ decision-making behaviour. This behaviour was guided by the emergence of a slow, interactive script that evolves through a process of pattern recognition and/or problem framing. This revealed ‘key attractors’ that formed the initial catalyst and the potential necessity for the coach to make a decision through the breaching of a ‘threshold’. These were the critical factors for coaches’ interventions.

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