scholarly journals Big Qual: Defining and Debating Qualitative Inquiry for Large Data Sets

2019 ◽  
Vol 18 ◽  
pp. 160940691988069 ◽  
Author(s):  
Rebecca L. Brower ◽  
Tamara Bertrand Jones ◽  
La’Tara Osborne-Lampkin ◽  
Shouping Hu ◽  
Toby J. Park-Gaghan
Keyword(s):  
Qualitative Data ◽  
Large Data ◽  
Qualitative Inquiry ◽  
Large Data Sets ◽  
Computer Assisted ◽  
Data Sets ◽  
Sampling Strategies ◽  
Analysis Software ◽  
Technological Advances ◽  
Qualitative Data Analysis Software

Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or secondary qualitative data from at least 100 participants analyzed by teams of researchers, often funded by a government agency or private foundation, conducted either as a stand-alone project or in conjunction with a large quantitative study. We then present a broad debate about the extent to which big qual may be transforming some forms of qualitative inquiry. We present three questions, which examine the extent to which large qualitative data sets offer both constraints and opportunities for innovation related to funded research, sampling strategies, team-based analysis, and computer-assisted qualitative data analysis software (CAQDAS). The debate is framed by four related trends to which we attribute the rise of big qual: the rise of big quantitative data, the growing legitimacy of qualitative and mixed methods work in the research community, technological advances in CAQDAS, and the willingness of government and private foundations to fund large qualitative projects.

Van datapaniek naar Marokkanenpaniek

KWALON ◽  
2020 ◽  
Vol 25 (2) ◽  
Author(s):  
Abdessamad Bouabid
Keyword(s):  
Qualitative Data ◽  
Large Data ◽  
Large Data Sets ◽  
Inductive Method ◽  
Data Sets ◽  
Written Text ◽  
Qualitative Data Analysis Software ◽  
Data Reduction Method ◽  
Data Collections ◽  
Pattern Coding

From data panic to Moroccan panic: A qualitative analysis of large data collections using codes, code groups and networks in Atlas.ti Large qualitative data collections can cause ‘data panic’ among qualitative researchers when reaching the stage of analysis. They often find it difficult to get a grip on such large data sets and to find a method of analysis that is both systematic and pragmatic and that can help them with this. In this article, I describe how I used a deductive and inductive method of analysis to get a grip on a large qualitative data collection (consisting of different formats) and how qualitative data analysis software facilitated this. This data reduction method consists of three stages: (1) deductive and inductive coding in Atlas.ti; (2) pattern coding in code groups and networks in Atlas.ti; and (3) reporting on the findings by transforming the networks into written text. This method is useful for researchers from all disciplines who want to analyze large qualitative data collections systematically, but at the same time do not want to drown in rigid methodological protocols that neutralize the creativity, reflexivity and flexibility of the researcher.

scholarly journals THE MALAY PRINCIPAL FORM: A STUDY OF ROOF DECORATIVE ELEMENTS OF RUMAH LIMAS BUMBUNG PERAK

2021 ◽  
Vol 8 (1) ◽  
pp. 57
Author(s):  
Iryani Abdul Halim Choo ◽  
Mohd. Sabrizaa Abd Rashid ◽  
Kartina Alauddin ◽  
Nazrul Helmy Jamaludin
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Belief System ◽  
The Other ◽  
Computer Assisted ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Qualitative Data Analysis Software ◽  
Data Analysis Software

This research aims to identify the Malay principal form in the roof decorative elements of Rumah Limas Bumbung Perak (RLBP). Through site observation, the data is collected in the form of images and analysed using the CAQDAS (Computer Assisted Qualitative Data Analysis Software) of Atlas Ti. 8. The findings of the research found that there are four Malay principal forms; Gunungan, Buah Guntung, Lebah Bergantung and Pohon Beringin present in the roof decorative elements of RLBP. The similarity and uniformity in the engagement of the form and its meaning is identifiable with the traditional houses of the other region which indicates a uniform understanding of the belief system and practises of the craftsmens throughout the Peninsula.

scholarly journals Aproximações entre curadoria digital e CAQDAS: uma revisão sistemática de literatura

2021 ◽  
Vol 17 (48) ◽  
pp. 1-24
Author(s):  
Katia Alexandra de Godoi e Silva ◽  
António Pedro Costa
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Computer Assisted ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Qualitative Data Analysis Software ◽  
Data Analysis Software

Este artigo propõe contribuir para a reflexão sobre o processo de curadoria digital, no intuito de discorrer sobre algumas das principais concepções sobre curadoria digital em diferentes contextos, tanto por autores brasileiros quanto estrangeiros, de modo a elucidar e aproximar o tema na organização e gestão de dados em Computer Assisted Qualitative Data Analysis Software (CAQDAS). Para alcançar tal objetivo, esta pesquisa se utilizou de metodologia qualitativa de cunho descritivo, possibilitada por uma revisão sistemática da literatura de trabalhos científicos sobre o tema da curadoria digital, a partir de buscas em uma base de dados acadêmicas (Scopus) e em uma base da literatura cinzenta (Banco de Teses e Dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES). Como resultados, constatou-se que as concepções sobre curadoria digital convergem para diferentes práticas de curadoria de conteúdo, curadoria digital de dados de pesquisa ou eScience e curadoria digital. Também constatou-se que a curadoria digital pode ser aplicada em diferentes contextos, como bases de dados colaborativas, redes sociais, repositórios, gerenciadores de dados qualitativos, preservação do acervo de objetos culturais digitais, além da organização de dados qualitativos em CAQDAS e também como proposta metodológica no processo de ensino.

scholarly journals Phylogenetic analysis of large molecular data sets

2017 ◽  
pp. 99
Author(s):  
Pamela S. Soltis ◽  
Douglas E. Soltis
Keyword(s):  
Large Data ◽  
Molecular Data ◽  
Global Optimum ◽  
Large Data Sets ◽  
Phylogeny Reconstruction ◽  
Local Optimum ◽  
Data Sets ◽  
Additional Consideration ◽  
Technological Advances ◽  
The Difference

Technological advances in molecular biology have greatly increased the speed and efficiency of DNA sequencing, making it possible to construct large molecular data sets for phylogeny reconstruction relatively quickly. Despite their potential for improving our understanding of phylogeny, these large data sets also provide many challenges. In this paper, we discuss several of these challenges, including 1) the failure of a search to find the most parsimonious trees (the local optimum) in a reasonable amount of time, 2) the difference between a local optimum and the global optimum, and 3) the existence of multiple classes (islands) of most parsimonious trees. We also discuss possible strategies to improve the' likelihood of finding the most parsimonious tree(s) and present two examples from our work on angiosperm phylogeny. We conclude with a discussion of two alternatives to analyses of entire large data sets, the exemplar approach and compartmentalization, and suggest that additional consideration must be given to issues of data analysis for large data sets, whether morphological or molecular.

scholarly journals Using Computer-assisted Qualitative Data Analysis Software (CAQDAS) to Re-examine Traditionally Analyzed Data: Expanding our Understanding of the Data and of Ourselves as Scholars

2015 ◽  
Author(s):  
Linnea Rademaker ◽  
Elizabeth Grace ◽  
Stephen Curda
Keyword(s):  
Qualitative Data ◽  
College Of Education ◽  
Computer Assisted ◽  
Education Evaluation ◽  
Analysis Software ◽  
Evaluation Committee ◽  
Additional Level ◽  
Qualitative Data Analysis Software ◽  
Collaborative Efforts ◽  
Level Of Analysis

As diverse members of a college of education evaluation committee one of our charges is to support faculty as we document and improve our teaching. Our committee asked faculty to respond to three qualitative questions, documenting ways in which interdepartmental and cross-department conversations are used to promote reflective thinking about our practice. Three of us investigated the use of CAQDAS to provide an additional level of analysis and how we learned more about ourselves as scholars through this collaboration. Our findings include recommendations regarding the use of CAQDAS to support collaborative efforts by diverse scholars.

User Engagement in the Context of Qualitative Data Analysis Software

2013 ◽  
Author(s):  
Heather L. O'Brien ◽  
Raewynn Bassett
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Qualitative Data ◽  
Computer Assisted ◽  
User Engagement ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Qualitative Data Analysis Software ◽  
Analyse De Contenu ◽  
Data Analysis Software

This research explores the qualitative researchers’ perceptions of computer assisted qualitative data analysis software (CAQDAS) through content analysis of blogs. The purpose of this exploratory work is to understand the existing relationships that scholars have with CAQDAS, and how the use of these tools promotes or hinders engagement during the research process.Au moyen d’une analyse de contenu de blogues, cette recherche explore les perceptions qu’ont les chercheurs qui emploient des techniques qualitatives à l’égard d’un logiciel (CAQDAS) d’analyse de données qualitatives assistée par ordinateur. L’objectif de cette phase exploratoire est de comprendre la relation existante entre les chercheurs et CAQDAS et comment l’utilisation de ce type d’outils engendre ou empêche l’engagement durant le processus de recherche. 

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