After Thematic Analysis: Introducing the Fuzzy Thematic Network Analysis in Psychological Research

2021 ◽  
pp. 399-406
Author(s):  
Hojjatollah Farahani ◽  
Parviz Azadfallah ◽  
Kazhal Rashidi
Keyword(s):  
Network Analysis ◽  
Thematic Analysis ◽  
Psychological Research ◽  
Thematic Network Analysis

Conceptual Disruption

2017 ◽  
Vol 41 (4) ◽  
pp. 451-464 ◽  
Author(s):  
Sara I. McClelland
Keyword(s):  
Survey Research ◽  
Sexual Satisfaction ◽  
Thematic Analysis ◽  
Psychological Research ◽  
The Self ◽  
Self Report ◽  
Research Designs ◽  
Report Data ◽  
Self Report Data ◽  
Cantril’S Ladder

In research using self-report measures, there is little attention paid to how participants interpret concepts; instead, researchers often assume definitions are shared, universal, or easily understood. I discuss the self-anchored ladder, adapted from Cantril’s ladder, which is a procedure that simultaneously collects a participant’s self-reported rating and their interpretation of that rating. Drawing from a study about sexual satisfaction that included a self-anchored ladder, four analyses are presented and discussed in relation to one another: (1) comparisons of sexual satisfaction scores, (2) variations of structures participants applied to the ladder, (3) frequency of terms used to describe sexual satisfaction, and (4) thematic analysis of “best” and “worst” sexual satisfaction. These analytic strategies offer researchers a model for how to incorporate self-anchored ladder items into research designs as a means to draw out layers of meaning in quantitative, qualitative, and mixed methods data. I argue that the ladder invites the potential for conceptual disruption by prioritizing skepticism in survey research and bringing greater attention to how social locations, histories, economic structures, and other factors shape self-report data. I also address issues related to the multiple epistemological positions that the ladder demands. Finally, I argue for the centrality of epistemological self-reflexivity in critical feminist psychological research. Additional online materials for this article are available on PWQ’s website at http://journals.sagepub.com/doi/suppl/10.1177/0361684317725985

scholarly journals #DigPed Narratives in Education: Critical Perspectives on Power and Pedagogy

2018 ◽  
Vol 22 (3) ◽  
Author(s):  
Suzan Koseoglu ◽  
Aras BOZKURT
Keyword(s):  
Social Network ◽  
Mixed Methods ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Critical Pedagogy ◽  
Thematic Analysis ◽  
Mixed Methods Study ◽  
Knowledge Gap ◽  
Critical Perspective ◽  
Educational Discourse

This mixed methods study addresses a knowledge gap in the nature and effects of networked scholarship. We analyze #DigPed, a Twitter hashtag on critical pedagogy, through the lens of Tufekci’s Capacities and Signals framework in order to understand (1) how educational narratives develop and spread on #DigPed, and (2) the nature of their capacities. Using Social Network Analysis and thematic analysis of content, we identify three prominent narratives in the network and discuss the network structures from a critical perspective. Based on the findings, we propose pedagogic capacity—the power to initiate a productive and potentially transformative educational discourse, within one’s self and within communities—as an additional lens to explore the spread and impact of critical narratives in education. Findings confirm the view that networked spaces are organized by hidden hierarchies marked by influence.

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.

‘He Has Problems; He Is Not the Problem . . .’ A Qualitative Study of Non-Custodial Staff Providing Services for Young Offenders Assessed for Foetal Alcohol Spectrum Disorder in an Australian Youth Detention Centre

Youth Justice ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 137-157 ◽  
Author(s):  
Sharynne L. Hamilton ◽  
Tracy Reibel ◽  
Rochelle Watkins ◽  
Raewyn C. Mutch ◽  
Natalie R. Kippin ◽  
...  
Keyword(s):  
Network Analysis ◽  
Young People ◽  
Study Data ◽  
Qualitative Inquiry ◽  
Spectrum Disorder ◽  
Prevalence Study ◽  
Structured Interviews ◽  
Detention Centre ◽  
Maximum Benefit ◽  
Thematic Network Analysis

Little is known about the challenges non-custodial youth detention centre staff face supporting young people with foetal alcohol spectrum disorder (FASD). We undertook qualitative inquiry to identify and describe the perspectives of non-custodial staff detention staff regarding the value of an FASD prevalence study. Data were collected using semi-structured interviews and focus groups and analysed using thematic network analysis. Staff held few concerns about the prevalence study and its impact on participating young people; however, they identified barriers related to study processes, and practices and culture within their workplace, which hindered gaining maximum benefit from the research and its findings.

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.

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