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Journal Article

Evidence Analysis using CAQDAS: Insights from a Qualitative Researcher  pp10-24

Marian Carcary

© Jan 2011 Volume 9 Issue 1, ECRM 2010 Special issue Part 2/Jan 2011, Editor: Ann Brown, David Douglas, Marian Carcary and Jose Esteves, pp1 - 87

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Abstract

In data analysis the qualitative researcher seeks to produce a convincing explanation of the phenomena under investigation. Data analysis is an iterative process and requires reflection and interpretation on the researcher’s part on several levels. Interpretation suggests that there are no clear rules and that the researcher’s judgment, intuition and ability to highlight issues play an important part in the process. As a result, the issue as to how to analyse qualitative evidence is an area often poorly understood by researchers new to the interpretivist paradigm. The complexity of the data analysis process is increased due to the volume of evidence collected as part of a qualitative research study. The role of Computer Aided Qualitative Data Analysis Software (CAQDAS) in supporting this data analysis process is examined in this paper. It explores how CAQDAS can be used in facilitating the management of an extensive qualitative evidence base. CAQDAS enables researchers to manage qualitative data that would prove onerous through manual “pen and paper” methods. The paper examines the author’s use of the CAQDAS package N‑vivo in managing approximately 400 pages of single spaced interview transcripts resultant from a study on the evaluation of a new student ICT administrative system implementation in the Irish Institute of Technology (IoT) sector. This was an extensive empirical research study conducted across several case study sites and involved 49 informants and multiple sources of case study evidence. The objective was to develop a coherent cross‑case primary narrative of the system’s implementation from the evidence collected, reduce this to a set of key findings and ultimately develop a theoretical conjecture that provided fresh insights into the ICT investment evaluation process. The N‑vivo package served primarily as a support tool in managing the interview transcripts; in reflecting on the emerging themes; and in interpreting the body of evidence. It facilitated the identification of key points, the coding of key concepts that emerged from the body of evidence, and comparison between these concepts. It supported the later reclassification of concepts into a series of categories and sub categories; this helped to organise related concepts in relation to the overall research and facilitated greater understanding of the body of evidence. It supported the creation of memos to clarify emerging concepts and the categorisation of interview material to facilitate cross‑case analysis. Further, it facilitated analysis through for example relationship and model exploration. These features of N‑vivo played a vital role in producing a series of narrative accounts and ultimately the distillation of a new theoretical conjecture.

 

Keywords: qualitative data analysis, CAQDAS, N-vivo, coding, categorisation, memos, interpretivist research, research audit trail

 

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Journal Article

The use of Grounded Theory Technique as a Practical Tool for Qualitative Data Collection and Analysis  pp29-40

Japhet Lawrence, Usman Tar

© Jun 2013 Volume 11 Issue 1, Editor: Ann Brown, pp1 - 50

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Abstract

When encountering qualitative research for the first time, one is confronted with both the number of methods and the difficulty of collecting, analysing and presenting large amounts of data. In quantitative research, it is possible to make a clear distinction between gathering and analysing data. However, this distinction is not clear‑cut in qualitative research. The objective of this paper is to provide insight for the novice researcher and the experienced researcher coming to grounded theory for the first time. For those who already have experience in the use of the method the paper provides further much needed discussion arising out of the method’s adoption in the IS field. In this paper the authors present a practical application and illustrate how grounded theory method was applied to an interpretive case study research. The paper discusses grounded theory method and provides guidance for the use of the method in interpretive studies.

 

Keywords: grounded theory, interpretive, case study, data collection, data analysis, qualitative, quantitative

 

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Journal Article

Matrix‑Collage: An Innovative Methodology for Qualitative Inquiry in Social Systems  pp8-27

Ehsan Soltanifar, Manochehr Ansari

© Sep 2016 Volume 14 Issue 1, Editor: Ann Brown, pp1 - 70

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Abstract

Abstract: This study developed a framework for qualitative inquiry and administration of social systems. It describes the mechanisms that decision‑makers, such as the police detectives, military commanders, and transformative managers use in their problem solving initiatives. First, the framework was reviewed and constructed for: (1) the theory of qualitative data analysis; (2) problem solving process; and (3) the correlation matrices. Then, based on 14 Points, an extracted framework and its methodology are presented. Finally, a manifest (praxis) is introduced for the framework developed for a project in development planning. This innovative framework can be used for policy‑making, qualitative data analysis, or problem solving and administration of social systems.

 

Keywords: Keywords: data classification and analysis, framework analysis, land-use planning, problem solving, qualitative data analysis, qualitative methods

 

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Journal Article

Theoretical Data Collection and Data Analysis with Gerunds in a Constructivist Grounded Theory Study  pp59-73

Teresa Carmichael, Natalie Cunningham

© Oct 2017 Volume 15 Issue 2, Editor: Ann Brown, pp57 - 141

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Abstract

A constructivist grounded theory study into the experiences of coached executives was undertaken to develop theory about the coaching process. The analysis reported in this paper was undertaken in parallel with the analysis to resolve the main concern of the study; that of theorising the coaching process. The purpose of this complementary analysis was to capture adaptations of the standard processes used for data collection and data analysis that facilitated the theoretical direction taken in the research. The starting point of the process is the careful, well‑researched and purposive selection of the “right” first participant, and the end point is theoretical saturation of thematic categories with all variations within the category elucidated. Selection of the first, key respondent was enabled through networking, and the interview data were in‑vivo coded before being converted to gerunds using an additional intervening step in Saldana’s (2016) analytic process. This mechanism converted static descriptive codes to active process codes, enabling the extraction of implicit meanings which facilitated the emergence of theoretical propositions and linkages between codes and categories. Subsequent respondents were selected on a theoretical basis. The role of the literature in achieving theoretical saturation was facilitated by adopting a reflexive stance and incorporting sensitising consultation of scholarly sources as part of the analytic process applied to each interview transcript in turn during the theoretical sampling process. The inclusion of the literature in this way facilitated the coding of the dimensions of and variations within each category.

 

Keywords: qualitative, methodology, saturation, sampling, interview, coding, gerund, data analysis, constructivist grounded theory

 

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Journal Issue

Volume 9 Issue 1, ECRM 2010 Special issue Part 2/Jan 2011 / Jan 2011  pp1‑87

Editor: Ann Brown, David Douglas, Marian Carcary, Jose Esteves

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Editorial

These papers dealt with the problems facing management researchers in a variety of ways. The keynote paper by Eileen Trauth discusses the issues that gender research raise for business. Three papers offer advice on qualitative data analysis, of which the paper by Carcary deals with methods of collection using IT, Ryan and Ogilvie identify an unusual data source and the third (Reiter et al) deals with the problem of choosing the appropriate research method. The two papers on research methodology address entirely different types of issue. The paper by Knowles and Michielsens gives all a fascinating insight into research methods that top journals apparently prefer. Iacono et al demonstrate how effective case study methods can be in developing theory. The two final papers address the subject of teaching research methods but again offer widely different views.

 

Keywords: autodriving, building theory from case studies, CAQDAS, case study research, categorisation, coding, critical theory, diversity, epistemology, feminism, gender and IT, gender differences, grounded theory, individual differences, interpretive research, interpretivist research, interviews, iterative process, marking rubrics, memos, N-vivo, phenomenology, photoelicitation, positivist research, primary data, projective prompts, qualitative, qualitative data analysis, qualitative research, quantitative, RAE 2008, REF 2013, research audit trail, research in large classes, research mentors, research method selection, research methodology, research methods, research outcomes, research training, social inclusion, teaching quantitative research, theory, theory of gender , Web 2, women and IT workforce,

 

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Journal Issue

Volume 15 Issue 2 / Oct 2017  pp57‑141

Editor: Ann Brown

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Editorial

ec6b0d90e60fa8dcfba4e184b3080a78Dr Ann Brown is a Senior Lecturer in Information Management in the Faculty of Management at Cass Business School and Associate Dean for the Undergraduate programme. She took an MSc (Operational Research) at LSE while working at the British Steel Corporation as an Operational Researcher. She obtained her doctorate from City University in 2005, based on her work into the problems and potential of Information Systems applications to create Business Value for organisations. She supports a number of IS academic conferences through her work as a member of conference committees. She was a member of the editorial panel for Information and Management until 2008. Her research spans the exploitation of IS in organisations, the application of qualitative research methods and the impact of non traditional Teaching and Learning methods on student achievement, such as activity based learning. 

 

Keywords: qualitative, methodology, saturation, sampling, interview, coding, gerund, data analysis, constructivist grounded theory, whole networks, inter-organizational networks, evolving markets, connected health, network ethnography, anthropological research methods, insider action research, researching entrepreneurship, digital entrepreneurship, Psychogeography, focus groups, career success, gender, qualitative research, corporate culture, CQR, qualitative methods, management research, document analysis, semi-structured interviews, Delphi, Delphi method characteristics, Delphi method variants, Information systems research, Taxonomy, Taxonomy development, Phenomenology, Arts Research, Qualitative Methodology, Alchemy Methodology, arts-based research, Husserl

 

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