Supplemental Material for Network Analysis for the Visualization and Analysis of Qualitative Data

2017 ◽  
Keyword(s):  
Network Analysis ◽  
Qualitative Data

scholarly journals Advancing clinical leadership to improve the implementation of evidence-based practice in surgery: a longitudinal mixed-method study protocol

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Amy Grove ◽  
Aileen Clarke ◽  
Graeme Currie ◽  
Andy Metcalfe ◽  
Catherine Pope ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Mixed Method ◽  
Qualitative Data ◽  
Mixed Method Study ◽  
Evidence Based ◽  
Theory Approach ◽  
Cross Sectional ◽  
Clinical Leadership

Abstract Background Clinical leadership is fundamental in facilitating service improvements in healthcare. Few studies have attempted to understand or model the different approaches to leadership which are used when promoting the uptake and implementation of evidence-based interventions. This research aims to uncover and explain how distributed clinical leadership can be developed and improved to enhance the use of evidence in practice. In doing so, this study examines implementation leadership in orthopaedic surgery to explain leadership as a collective endeavour which cannot be separated from the organisational context. Methods A mixed-method study consisting of longitudinal and cross-sectional interviews and an embedded social network analysis will be performed in six NHS hospitals. A social network analysis will be undertaken in each hospital to uncover the organisational networks, the focal leadership actors and information flows in each organisation. This will be followed by a series of repeated semi-structured interviews, conducted over 4 years, with orthopaedic surgeons and their professional networks. These longitudinal interviews will be supplemented by cross-sectional interviews with the national established surgical leaders. All qualitative data will be analysed using a constructivist grounded theory approach and integrated with the quantitative data. The participant narratives will enrich the social network to uncover the leadership configurations which exist, and how different configurations of leadership are functioning in practice to influence implementation processes and outcomes. Discussion The study findings will facilitate understanding about how and why different configurations of leadership develop and under what organisational conditions and circumstances they are able to flourish. The study will guide the development of leadership interventions that are grounded in the data and aimed at advancing leadership for service improvement in orthopaedics. The strength of the study lies in the combination of multi-component, multi-site, multi-agent methods to examine leadership processes in surgery. The findings may be limited by the practical challenges of longitudinal qualitative data collection, such as ensuring participant retention, which need to be balanced against the theoretical and empirical insights generated through this comprehensive exploration of leadership across and within a range of healthcare organisations.

scholarly journals Using Qualitative Analysis to Assess a Model of Support for Online Health Communities for People Living with Chronic Health Conditions (Preprint)

2018 ◽  
Author(s):  
Brian M. Green ◽  
Kaitlyn Van Horn ◽  
Ketki Gupta ◽  
Amrita Bhowmick ◽  
Michael Booth
Keyword(s):  
Network Analysis ◽  
Qualitative Data ◽  
Pearson Correlation ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Practical Significance ◽  
Chronic Health ◽  
Online Health Communities ◽  
Health Communities ◽  
Thematic Network Analysis

BACKGROUND Online health communities (OHC) can be a powerful tool to facilitate communication among patients, professionals and family members who live with or care for someone with a chronic health condition(s). Health Union LLC’s OHC model engages, empowers and encourages people to take an active role in their health by providing content that aligns with their needs and interests and by cultivating a safe environment where communication, understanding and meaningful relationships can thrive. OHCs included in this study target people living with multiple sclerosis, migraine, IBS, rheumatoid arthritis, lung cancer, and prostate cancer. OBJECTIVE Using qualitative methods we sought to determine if constructs in the Health Union OHC model are supported by themes identified in OHC participant comments. Key components of the model to be tested include: content tailored to needs of community, facilitation, and encouragement of social support, active moderation, opportunities for active and passive engagement, and transparency of community norms and rules. METHODS A sample of over 5800 comments exported from over 40 Facebook posts from 6 OHCs was analyzed using the Dedoose qualitative data analysis software. Comments from these Facebook posts were extracted, imported into Dedoose software and coded. Interrater reliability of initial coding was calculated using Pearson Correlation Coefficient. An exploratory approach was taken in the analysis and initial codes were grouped into thematic categories and then confirmed through thematic network/framework analysis using the Dedosse software tool. Thematic categories were compared for similarity and differences for each of the 6 OHCs, original post type, and by the extent of active moderation evident in each comment thread. RESULTS Qualitative thematic network analysis of posts and comments from 6 OHCs correspond to the primary components of the Health Union OHC model. This analysis suggests that the structural elements of the OHC model, including active site moderation, support high levels of community engagement and information sharing and mutual support of OHC participants. CONCLUSIONS Qualitative data from the 6 OHCs demonstrates the positive impact the community has on participants, often helping them reframe their health care experience and coping strategies. The principle of adaptive engagement is demonstrated by the thematic network analysis and illustrates the Health Union OHC model constructs. Different community segments have different patterns of engagement. Our primary focus on the content of participant comments in this analysis is a current limitation. While we also examine more passive methods of liking and sharing posts utilized by OHC participants, these may warrant further analysis. This study has practical significance as it helps to demonstrate the value of online health communities for people living with chronic health conditions by providing meaningful engagement, support, and information in an accessible environment.

Mapping movements: a call for qualitative social network analysis

2020 ◽  
pp. 146879412092767
Author(s):  
India Luxton ◽  
Joshua Sbicca
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Qualitative Data ◽  
Centrality Measures ◽  
Organization Level ◽  
Starting Point ◽  
Food Movement ◽  
Interpretive Process

Social network analysis (SNA) is an interdisciplinary method that takes as its starting point the premise that social life is created primarily and most importantly by relations and the patterns formed by these relations. While SNA is often associated with the quantitative analysis of network measures, we illustrate through our overall mapping of, and interpretation of the relations within the Denver food movement, the advantages of a qualitative approach. We bring together information from surveys, network diagrams, betweenness centrality measures, and interviews to offer an interpretive process that reveals both the structure and activist- and organization-level meanings to explain resource mobilization and collaboration. We propose that qualitative SNA allows researchers to (a) understand the context and content of network structures and (b) better interpret quantitative measures with additional qualitative data. Based on our findings, we additionally suggest that for social movement scholars, qualitative SNA offers a deeper understanding of how organizations collaborate to advance organizational and movement goals.

Qualitative Assessment of an Adaptive Engagement Model for Online Health Communities (Preprint)

2018 ◽  
Author(s):  
Brian M. Green ◽  
Katelyn Tente Van Horn ◽  
Ketki Gupte ◽  
Amrita Bhowmick
Keyword(s):  
Network Analysis ◽  
Qualitative Data ◽  
Positive Impact ◽  
Pearson Correlation ◽  
Qualitative Assessment ◽  
Practical Significance ◽  
Chronic Health ◽  
Online Health Communities ◽  
Health Communities ◽  
Thematic Network Analysis

BACKGROUND Online health communities (OHC) can be a powerful tool to facilitate communication among patients, professionals and family members who live with or care for someone with a chronic health condition(s). Health Union LLC’s OHC Adaptive Engagement Model engages, empowers and encourages people to take an active role in their health. OHCs included in this study are for people living with multiple sclerosis, migraine, IBS, rheumatoid arthritis, lung cancer, and prostate cancer. OBJECTIVE This research uses qualitative methods to identify themes supporting the constructs of the Health Union OHC model.  Key components of the model to be tested include: content tailored to needs of community, facilitation and encouragement of social support, active moderation, opportunities for active and passive engagement, and transparency of community norms and rules. METHODS A sample of over 5,800 comments exported from over 40 Facebook posts from 6 OHCs was analyzed using the Dedoose™ qualitative data analysis software. Comments from these Facebook posts were extracted, imported into Dedoose™ software and coded. Interrater reliability of initial coding was calculated using Pearson’ Correlation Coefficient. An exploratory approach was taken in the analysis and initial codes were grouped into thematic categories and then confirmed through thematic network analysis using the Dedoose™ software tool. Thematic categories were compared for similarity and differences for each of the 6 OHCs, and by content descriptive category. RESULTS Qualitative thematic network analysis of posts and comments from 6 OHCs correspond to the primary components of the Health Union OHC Adaptive Engagement Model.  This analysis suggests that the structural elements of the model, including active site moderation, support high levels of community engagement and information sharing and mutual support of OHC participants. CONCLUSIONS Qualitative data from the 6 OHCs demonstrate the positive impact the community has on participants, often helping them reframe their healthcare experience and coping strategies. The principle of adaptive engagement is demonstrated by the thematic network analysis and illustrates the Health Union OHC Adaptive Engagement Model constructs. Different community segments have different patterns of was. This study has practical significance as it helps to demonstrate the value of online health communities for people living with chronic health conditions by providing meaningful engagement, support, and information in an accessible environment.

scholarly journals The Use of Assistive Technologies in Writing Situations with Dyslexic and Dysorthographic Students

2021 ◽  
Author(s):  
Nadia Rousseau ◽  
Michelle Dumont ◽  
Carl Beaudoin
Keyword(s):  
Network Analysis ◽  
Self Efficacy ◽  
Qualitative Data ◽  
Assistive Technologies ◽  
Average Score ◽  
Self Perception ◽  
Structured Interviews ◽  
School Year ◽  
Quantitative Analyses ◽  
Exam Anxiety

In the context where dyslexic and dysorthographic students have great difficulties in writing, this study aims to describe and analyze the perceived relationship between the use of assistive technologies (AT) in writing situations as well as academic self-perception, feeling of self-efficacy and exam anxiety in dyslexic and dysorthographic students. Using standardized questionnaires and semi-structured interviews, data were collected at the beginning and end of the school year from 28 dyslexic and dysorthographic students aged 12 to 13. In terms of quantitative analyses, the average score for each of the scales on the questionnaires was calculated. As for the qualitative data, they were analyzed using a network analysis approach. The main results show that students who can use ATs in a writing situation have a significantly higher self-perception and feeling of self-efficacy than those who do not. Moreover, their use is promising since it is associated with less anxiety at the time of exams at both measurement times. The results obtained are discussed in relation to actions to be encouraged in schools.

scholarly journals De la hermenéutica a las redes de datos: Extracción de datos y visualización de redes en fuentes históricas

2017 ◽  
Author(s):  
Marten Düring
Keyword(s):  
Social Network ◽  
Data Analysis ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Qualitative Data ◽  
Redes Sociales ◽  
Qualitative Data Analysis

La visualizaciones de redes pueden ayudar a los humanistas a revelar patrones complejos escondidos y estructuras en fuentes textuales. Este tutorial explica cómo extraer datos en red (personas, instituciones, lugares, etcétera.) de fuentes históricas a través del uso de métodos no especializados desarrollados en el marco del análisis de datos qualitativos (Qualitative Data Analysis, QDA) y el análisis de redes sociales (Social Network Analysis, SNA), y cómo visualizar estos datos con Palladio, una aplicación independiente de plataforma y que es particularmente fácil de usar.

scholarly journals Using network analysis for rapid, transparent, and rigorous thematic analysis: A case study of online distance learning

2020 ◽  
Vol 24 (2) ◽  
Author(s):  
Yosep Dwi Kristanto ◽  
Russasmita Sri Padmi
Keyword(s):  
Distance Learning ◽  
Network Analysis ◽  
Thematic Analysis ◽  
Qualitative Data ◽  
Network Graph ◽  
Mathematical Algorithms ◽  
Online Distance Learning ◽  
Online Distance ◽  
Occurrence Matrix

In thematic analysis, themes construction can be performed manually by the researcher or automatically by a computer. Both methods have strengths and weaknesses. This article introduces a strategy that involves the role of both researcher and computer to construct themes from qualitative data in a rapid, transparent, and rigorous manner. The strategy makes use of network analysis and is demonstrated by employing a case study on students’ perceptions of online distance learning they experienced during the COVID-19 pandemic. The themes-construction strategy consists of four systematic phases, namely (1) determining unit of analysis and coding; (2) constructing the code co-occurrence matrix; (3) conducting network analysis; and (4) generating, reviewing, and reporting the themes. The strategy is successfully demonstrated in generating themes from the data with modularity value Q = 0.34. The application of network analysis in this strategy allows researchers to automatically generate themes from qualitative data using mathematical algorithms, represent these themes visually using network graph, and interpret the themes to answer the research questions.

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