scholarly journals Using Digital Technology to Address Confirmability and Scalability in Thematic Analysis of Participant-Provided Data

2020 ◽  
Author(s):  
Chung Joo Chung ◽  
J. Patrick Biddix ◽  
Han Woo Park
Keyword(s):  
Thematic Analysis ◽  
Large Scale ◽  
Qualitative Data ◽  
Large Data ◽  
Data Sources ◽  
Analysis Method ◽  
Latent Constructs ◽  
Word Analysis ◽  
Survey Responses ◽  
Conceptual Overview

This article presents a technique for analyzing large-scale qualitative data to address considerations for scalability and confirmability in thematic analysis of participant-provided data. A network approach provides a consistent means of coding that scales with the size of the dataset and is verifiable using standardized methods. This form of data analysis can be used with smaller data sources including interview transcripts as well as large data sources such as open-ended survey responses. A constructivist (inductive) approach is maintained and needed, however, to aid in interpretation of latent constructs. In this article, we provide both a conceptual overview of the co-word analysis method and a practical example.

scholarly journals A Course-Based Qualitative Inquiry: What Relational-Centred Practice Looks Like When in a Power-Over Position of Authority

2020 ◽  
Vol 7 (2) ◽  
pp. 20-27
Author(s):  
Adrianna Cambridge ◽  
Sarah Fereja ◽  
Irene Mai ◽  
Alice Yuan ◽  
Gerard Bellefeuille
Keyword(s):  
Data Collection ◽  
Thematic Analysis ◽  
Qualitative Data ◽  
Youth Care ◽  
Qualitative Inquiry ◽  
Self Awareness ◽  
Analysis Method ◽  
Child And Youth Care ◽  
Emotional Safety ◽  
Data Collection Technique

In this article, we report on the innovative research design and results of a course-based qualitative inquiry into child and youth care (CYC) students' experiences of maintaining a relational-centered practice stance while in a power-over position of authority. Qualitative data from two semi-structured focus groups as well as an arts-based data collection technique were analyzed using the thematic analysis method. The following four major themes were identified from the analyses: (a) “self-awareness is key,” (b) “the mediating power of a positive trusting relationship,” (c) “the vital importance of emotional safety,” and (d) “it’s a two-way street.” The results of this course-based study revealed that, although CYC students are committed to practicing relationally, the dynamics of being in a position of power-over authority are complex and challenging to navigate.

“Back Off Buddy, This Is My Body, Not Yours”: Empowering Girls Through Self-Defense

2017 ◽  
Vol 24 (13) ◽  
pp. 1591-1613 ◽  
Author(s):  
Jan Jordan ◽  
Elaine Mossman
Keyword(s):  
Large Scale ◽  
Qualitative Data ◽  
Age Groups ◽  
Research Attention ◽  
Scale Evaluation ◽  
Self Defense ◽  
Diverse Backgrounds ◽  
Key Informant ◽  
The Many ◽  
Survey Responses

Although growing recognition is being given to the benefits of teaching self-defense skills to college women, very little research attention has considered the impacts of providing such courses to school-aged girls. This article presents the findings from a large-scale evaluation of self-defense programs provided to three different age groups of schoolgirls from diverse backgrounds in New Zealand, drawing on survey responses from the girls themselves, supplemented by qualitative data provided by key informant interviews with their school and self-defense teachers. The findings provide clear evidence of the many positive benefits that can result for girls of all ages who participate in feminist self-defense courses taught by carefully trained instructors with a strong empowerment focus.

scholarly journals Rechtstaat dan Konstitusionalisme dalam Pemikiran Abdurrahman Wahid (1940-2009) dan Hasyim Muzadi (1944-2017)

2018 ◽  
Vol 22 (1) ◽  
pp. 83
Author(s):  
Mustofa Mustofa
Keyword(s):  
Civil Society ◽  
Data Analysis ◽  
Data Collection ◽  
Qualitative Data ◽  
Data Sources ◽  
Analysis Method ◽  
Normative Approach ◽  
Religion And State ◽  
The Relationship

Abstract: Rechtstaat and Constitutionalism in the Thought of Abdurrahman Wahid (1940-2009) and Hasyim Muzadi (1944-2017). This study aims to explore the thoughts of Abdurrahman Wahid and Hasyim Muzadi about rechtstaat and constitutionalism. This study uses the juridical-normative method with the historical-normative approach and the type of qualitative data. The data sources consist of primary, secondary, and tertiary data obtained from the number of literature and documentation. While the data collection techniques are obtained from book reviews and documentation. Data analysis method is conducted deductively and inductively. The result of this study reveals that the state law and the constitutionalism in the thoughts of Abdurrahman Wahid and Hasyim Muzadi refer to the constitution of Madinah and civil society in relation to religion and state. Abdurrahman Wahid and Hasyim Muzadi can be positioned as substantial, pluralist, nationalist, and humanist religious thinkers. Abdurrahman Wahid and Hasyim Muzadi’s contribution has proved to give improvements in strengthening the relationship between religion and state in Indonesia and has implications for rechtstaat’s future and constitutionalism in the Islamic legal system in Indonesia. The critical findings of this research are the thoughts of Abdurrahman Wahid, and Hasyim Muzadi provides enlightenment of idea and solution to the problematic rechtstaat with a cultural-religious approach.

Amplifying Participant Voices Through Text Mining

2020 ◽  
pp. 231-247
Author(s):  
Jonathan S. Lewis
Keyword(s):  
Text Mining ◽  
Thematic Analysis ◽  
Large Scale ◽  
Future Research ◽  
Text Data ◽  
Tremendous Amount ◽  
Mining Methods ◽  
Survey Responses ◽  
Research And Policy ◽  
Lengthy Discussion

Text mining presents an efficient, scalable method to separate signals and noise in large-scale text data, and therefore to effectively analyze open-ended survey responses as well as the tremendous amount of text that students, faculty, and staff produce through their interactions online. Traditional qualitative methods are impractical when working with these data, and text mining methods are consonant with current literature on thematic analysis. This chapter provides a tutorial for researchers new to this method, including a lengthy discussion of preprocessing tasks and knowledge extraction from both supervised and unsupervised activities, potential data sources, and the range of software (both proprietary and open-source) available to them. Examples are provided throughout the paper of text mining at work in two studies involving data collected from college students. Limitations of this method and implications for future research and policy are discussed.

scholarly journals Galaxy spin direction distribution in HST and SDSS show similar large-scale asymmetry

2020 ◽  
Vol 37 ◽  
Author(s):  
Lior Shamir
Keyword(s):  
Large Scale ◽  
Spiral Galaxies ◽  
Hubble Space Telescope ◽  
Gravitational Interaction ◽  
Large Data ◽  
Sloan Digital Sky Survey ◽  
Data Sets ◽  
Dipole Axis ◽  
Data Set ◽  
The Asymmetry

Abstract Several recent observations using large data sets of galaxies showed non-random distribution of the spin directions of spiral galaxies, even when the galaxies are too far from each other to have gravitational interaction. Here, a data set of $\sim8.7\cdot10^3$ spiral galaxies imaged by Hubble Space Telescope (HST) is used to test and profile a possible asymmetry between galaxy spin directions. The asymmetry between galaxies with opposite spin directions is compared to the asymmetry of galaxies from the Sloan Digital Sky Survey. The two data sets contain different galaxies at different redshift ranges, and each data set was annotated using a different annotation method. The results show that both data sets show a similar asymmetry in the COSMOS field, which is covered by both telescopes. Fitting the asymmetry of the galaxies to cosine dependence shows a dipole axis with probabilities of $\sim2.8\sigma$ and $\sim7.38\sigma$ in HST and SDSS, respectively. The most likely dipole axis identified in the HST galaxies is at $(\alpha=78^{\rm o},\delta=47^{\rm o})$ and is well within the $1\sigma$ error range compared to the location of the most likely dipole axis in the SDSS galaxies with $z>0.15$ , identified at $(\alpha=71^{\rm o},\delta=61^{\rm o})$ .

scholarly journals Helping Students FIG-ure It Out: A Large-Scale Study of Freshmen Interest Groups and Student Success

AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842110218
Author(s):  
Lovenoor Aulck ◽  
Joshua Malters ◽  
Casey Lee ◽  
Gianni Mancinelli ◽  
Min Sun ◽  
...  
Keyword(s):  
Interest Groups ◽  
Minority Students ◽  
Large Scale ◽  
Racial Minority ◽  
Social Aspects ◽  
Racial Minority Students ◽  
Freshman Seminars ◽  
Enrollment Rates ◽  
Survey Responses ◽  
The Impact

Freshman seminars are a ubiquitous offering in higher education, but they have not been evaluated using matched comparisons with data at scale. In this work, we use transcript data on over 76,000 students to examine the impact of first-year interest groups (FIGs) on student graduation and retention. We first apply propensity score matching on course-level data to account for selection bias. We find that graduation and re-enrollment rates for FIG students were higher than non-FIG students, an effect that was more pronounced for self-identified underrepresented racial minority students. We then employ topic modeling to analyze survey responses from over 12,500 FIG students to find that social aspects of FIGs were most beneficial to students. Interestingly, references to social aspects were not disproportionately present in the responses of self-identified underrepresented racial minority students.

scholarly journals A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration

Epidemiologia ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 315-324
Author(s):  
Juan M. Banda ◽  
Ramya Tekumalla ◽  
Guanyu Wang ◽  
Jingyuan Yu ◽  
Tuo Liu ◽  
...  
Keyword(s):  
Large Scale ◽  
Social Dynamics ◽  
Additional Data ◽  
Open Data ◽  
Data Sources ◽  
Research Projects ◽  
Research Groups ◽  
The World ◽  
Data Source

As the COVID-19 pandemic continues to spread worldwide, an unprecedented amount of open data is being generated for medical, genetics, and epidemiological research. The unparalleled rate at which many research groups around the world are releasing data and publications on the ongoing pandemic is allowing other scientists to learn from local experiences and data generated on the front lines of the COVID-19 pandemic. However, there is a need to integrate additional data sources that map and measure the role of social dynamics of such a unique worldwide event in biomedical, biological, and epidemiological analyses. For this purpose, we present a large-scale curated dataset of over 1.12 billion tweets, growing daily, related to COVID-19 chatter generated from 1 January 2020 to 27 June 2021 at the time of writing. This data source provides a freely available additional data source for researchers worldwide to conduct a wide and diverse number of research projects, such as epidemiological analyses, emotional and mental responses to social distancing measures, the identification of sources of misinformation, stratified measurement of sentiment towards the pandemic in near real time, among many others.

Healthcare and Terrorism: The Lebanese Experience

2021 ◽  
pp. 1-4
Author(s):  
Nooreddine Iskandar ◽  
Tatiana Rahbany ◽  
Ali Shokor
Keyword(s):  
Public Health ◽  
Qualitative Study ◽  
Thematic Analysis ◽  
Terrorist Attacks ◽  
Analysis Method ◽  
Structured Interviews ◽  
Security Issues ◽  
The Face ◽  
The Common ◽  
First Time

Abstract Background: Due to the common instability caused by political and security issues, Lebanese hospitals have experienced acts of terrorism multiple times. The most recent Beirut Explosion even forced several hospitals to cease operations for the first time in decades—but studies show the preparedness levels for such attacks in similar countries are low. Objective: The aim of this study is to explore the experience of Lebanese hospitals with terrorist attacks. Methods: This qualitative study used semi-structured interviews with various stakeholders to assess their experience with terrorist bombings. Data was analyzed using the thematic analysis method. Results: The researchers found that Lebanese hospitals vary greatly in their structures and procedures. Those differences are a function of 3 contextual factors: location, culture, and accreditation status. Hospitals found near ‘dangerous zones’ were more likely to be aware and to have better response to such events. A severe lack of communication, unity of command, and collaboration between stakeholders has made the process fragmented. Conclusion: The researchers recommend a larger role for the Ministry of Public Health (MOPH) in this process, and the creation of a platform where Lebanese organizations can share their experiences to improve preparedness and resilience of the Lebanese healthcare system in the face of terrorism.

scholarly journals “The most lonely condition I can imagine”: Psychosocial impacts of endometriosis on women’s identity

2020 ◽  
pp. 095935352093060
Author(s):  
Jennifer M Cole ◽  
Sarah Grogan ◽  
Emma Turley
Keyword(s):  
Chronic Pain ◽  
Social Relationships ◽  
Thematic Analysis ◽  
Online Survey ◽  
Qualitative Data ◽  
Physical Symptoms ◽  
Role Expectations ◽  
Social Connections ◽  
Women's Identity ◽  
Psychosocial Impacts

Endometriosis is a condition which affects around 1–2% of women worldwide and has profound effects on their everyday lives. Previous research has tended to focus on physical symptoms (such as chronic pain); how women manage changes to their identity and relationships as a result of endometriosis has received less attention. This paper discusses qualitative data examining how women negotiate changes to identity while living with endometriosis, in a social context where women are expected to minimise their symptoms and conform to feminine role expectations. We conducted thematic analysis of 34 replies to an online survey seeking qualitative text responses. The women identified disruptions to personal identity as a result of living with endometriosis. They talked about not feeling like themselves (Theme 1) and about reactions from medical and social connections prompting feelings that they were going “mad” (Theme 2). Participants also expressed feeling as though they were a burden to loved ones (Theme 3), which often resulted in self-silencing (Theme 4). Findings are discussed in the context of Western expectations of women’s roles in social relationships and suggest that professionals who support women with endometriosis should be aware of strategies such as self-silencing which may reduce effective self-care.

Sign in / Sign up

Export Citation Format

Share Document