Using NVIVO with Grounded Theory and other Qualitative Methods

2008 ◽  
Vol 30 (1) ◽  
pp. 22-26
Author(s):  
Elizabeth EnglandKennedy
Keyword(s):  
Grounded Theory ◽  
Data Analysis ◽  
Qualitative Methods ◽  
Research Design ◽  
Qualitative Data ◽  
Semantic Analysis ◽  
Research Process ◽  
Analysis Software ◽  
Survey Instruments ◽  
Qualitative Data Analysis Software

This paper demonstrates the potential usefulness of the NVivo7 software for developing grounded theory through semantic analysis and for making grounded theory more accessible to students and researchers. Use of qualitative data analysis software early in the research process can impact research design, including the creation of interview protocols and survey instruments. It can also be useful later in the process for content and discourse analyses. NVivo is a software program designed to facilitate coding and analysis of qualitative data; it includes "query" functions, which are specific searches that the software can perform on data.

scholarly journals Structuring a Team-Based Approach to Coding Qualitative Data

2020 ◽  
Vol 19 ◽  
pp. 160940692096870
Author(s):  
Lindsay Giesen ◽  
Allison Roeser
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Reference Materials ◽  
Qualitative Data ◽  
Research Process ◽  
Lessons Learned ◽  
Analysis Software ◽  
Management Structure ◽  
Qualitative Data Analysis Software ◽  
Supportive Management

Improvements to qualitative data analysis software (QDAS) have both facilitated and complicated the qualitative research process. This technology allows us to work with a greater volume of data than ever before, but the increased volume of data frequently requires a large team to process and code. This paper presents insights on how to successfully structure and manage a team of staff in coding qualitative data. We draw on our experience in team-based coding of 154 interview transcripts for a study of school meal programs. The team consisted of four coders, three senior reviewers, and a lead analyst and external qualitative methodologist who shepherded the coding process together. Lessons learned from this study include: 1) establish a strong and supportive management structure; 2) build skills gradually by breaking training and coding into “bite-sized” pieces; and 3) develop detailed reference materials to guide your coding team.

Improving outcomes with Qualitative Data Analysis Software: A reflective journey

2017 ◽  
Vol 18 (3) ◽  
pp. 436-442 ◽  
Author(s):  
Austin G Oswald
Keyword(s):  
Qualitative Research ◽  
Social Work ◽  
Data Analysis ◽  
Qualitative Data ◽  
Research Process ◽  
Digital Tools ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Social Work Research ◽  
Qualitative Data Analysis Software

Now more than ever, qualitative social work researchers are being called upon to conduct increasingly complex, multifaceted, and intersectional research. Given the heightened complexity of social work research, it is necessary that scholars learn strategies to streamline the research process and digital tools for qualitative research are a mechanism to do so. In this paper, I share insights gleaned from personal experience working with Qualitative Data Analysis Software, specifically MAXQDA 12, to support a larger study that explored the social lives of older gay men. This paper highlights the various functions of MAXQDA 12 and how qualitative social work researchers can use the program to improve the research process and outcomes. Despite the rapid growth in production of digital tools for qualitative research there remains a dearth in studies that explicitly address how digital tools are used in the extant literature on qualitative research. This paper sheds light on this noted gap in the literature by exploring the functionality of MAXQDA 12 and how it can be applied to improve qualitative social work research.

Qualitative data analysis software as a tool for teaching analytic practice: Towards a theoretical framework for integrating QDAS into methods pedagogy

2019 ◽  
Vol 20 (5) ◽  
pp. 684-702
Author(s):  
Christian Schmieder
Keyword(s):  
Data Analysis ◽  
Qualitative Methods ◽  
Qualitative Data ◽  
Theoretical Framework ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Academic Leaders ◽  
Negative Impacts ◽  
Qualitative Data Analysis Software ◽  
Data Analysis Software

Methods educators who include qualitative data analysis software (QDAS) in their teaching see the software as an opportunity to bring authentic experiences of analytic practice into classrooms. However, we currently lack a shared language for outlining and understanding what this analytic practice could or should entail. By expanding Silver and Woolf’s 5-Level QDAS® pedagogy, I introduce a theoretical framework of analytic practice with QDAS designed for methods educators to reflect on their curricula, and for academic leaders and administrators to reflect on their institutions’ overall educational ecologies regarding qualitative methods. Further, I illustrate how barriers to integrating QDAS reflect broader issues in qualitative methods education, specifically regarding analysis training and apprenticeship. Given these barriers, I suggest that discussions of the positive or negative impacts of QDAS should focus less on the users and the software itself, and instead more on the way we teach, or fail to teach the practice of qualitative analysis.

scholarly journals Utilizing Microsoft® Office to Produce and Present Recursive Frame Analysis Findings

2014 ◽  
Author(s):  
Ronald Chenail ◽  
Maureen Duffy
Keyword(s):  
Grounded Theory ◽  
Data Analysis ◽  
Conversation Analysis ◽  
Qualitative Data ◽  
Frame Analysis ◽  
Computer Assisted ◽  
Analysis Software ◽  
Software Packages ◽  
Qualitative Descriptive ◽  
Qualitative Data Analysis Software

Although researchers conducting qualitative descriptive studies, ethnographies, phenomenologies, grounded theory, and narrative inquiries commonly use computer-assisted qualitative data analysis software (CAQDAS) to manage their projects and analyses, investigators conducting discursive methodologies such as discourse or conversation analysis seem to find such software packages not as useful. In our work with Recursive Frame Analysis (RFA), a systemic approach to the analysis of text and talk, we have taken a slightly different route by utilizing Microsoft® Office applications to produce and present our RFA findings. In the paper we describe RFA, explain how we use Word and PowerPoint to carry out RFA's semantic, sequential, and pragmatic analyses, and illustrate our work with some examples from a recent study.

scholarly journals O USO DE PROGRAMAS DE COMPUTADOR NA ANÁLISE QUALITATIVA: OPORTUNIDADES, VANTAGENS E DESVANTAGENS.

2007 ◽  
Vol 12 (2) ◽  
pp. 56 ◽  
Author(s):  
Daniel Augusto Moreira
Keyword(s):  
Qualitative Research ◽  
Grounded Theory ◽  
Data Analysis ◽  
Data Storage ◽  
Qualitative Data ◽  
Computer Software ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Qualitative Data Analysis Software ◽  
Data Analysis Software

Qualitative Data Analysis Software is not extensively used in Brazil; also, misconceptions about qualitative research are still common. This study presents the main functions of Qualitative Data Analysis Software or, more properly, CAQDAS - Computer Aided Qualitative Data Analysis Software, as it is well known in the academic world. The relationship of CAQDAS with grounded theory is stressed, and so is text coding, as the central operational issue in grounded theory. Vantages and advantages of using software packages are analyzed. However their huge potential for facilitating data storage, manipulation and retrieval, their use is not always necessary or even recommended. As the packages are not neutral concerning theory, the analyst has to decide if and when to use a computer program and, if the package is in order, which one to use. Key words: Data analysis. Computer software. Qualitative research.

scholarly journals O uso do computador na análise de dados qualitativos: questões emergentes

2008 ◽  
Vol 9 (4) ◽  
pp. 75-98 ◽  
Author(s):  
Maria Campos Lage ◽  
Arilda Schmidt Godoy
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Computer Aided ◽  
Qualitative Data Analysis Software ◽  
Data Analysis Software

A sigla CAQDAS (Computer Aided Qualitative Data Analysis Software) designa softwares criados para auxiliar na análise de dados qualitativos. Alguns autores possuem opiniões favoráveis acerca da utilidade, eficácia e facilidade de uso desses softwares, outros demonstram dúvidas em relação aos benefícios conseguidos, gerando polêmica e tornando oportuna a criação de um espaço para discussão do tema. O objetivo deste trabalho é apresentar e analisar os principais aspectos envolvidos nesse debate, levando em consideração as opiniões e os argumentos "favoráveis" e "contrários" ao uso de CAQDAS. Para atender a esse propósito, foi realizada uma revisão bibliográfica centrada na análise de quatro aspectos: a utilidade do gerenciamento de dados pelo computador, a possibilidade de maior interação do pesquisador com seus dados, a facilitação do processo de comunicação entre pesquisadores e a existência de viés no processo analítico. Discutem-se também algumas experiências nacionais recentes de uso de CAQDAS em pesquisas na área de administração.

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