The Electronic Journal of Business Research Methods provides perspectives on topics relevant to research in the field of business and management
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Journal Article

Getting the most from NUD*ISTNVivo  pp11-22

Alison Dean, John Sharp

© Nov 2006 Volume 4 Issue 1, Editor: Arthur Money, pp1 - 66

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Abstract

Since the most problematic areas in applying NUD*IST and NVivo in management research are in using them for recording, collating, analysing and reporting interview data, this paper concentrates on the use of NUD*IST and NVivo for these purposes. It examines the problems that arise in their use at the different stages (Interviewing, Transcription, Structuring and Reporting) of three types of research project: a major research project, a specialist research project and a doctoral research project. Suggestions are made as to how these problems can be mitigated. Conclusions are drawn about good practice in the use of NUD*IST and NVivo and suggestions are made on some enhancements that might be made to them. Comments are made about Interpretivism and the use of NUD*IST and NVivo and on the role of supervisors in doctoral research involving the use of NUD*IST and NVivo.

 

Keywords: Qualitative research reporting, CAQDAS, NUD*ISTNVivo good practice, interview transcription, coding and reporting, interpreting data

 

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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 Issue

Volume 4 Issue 1 / Nov 2006  pp1‑66

Editor: Arthur Money

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Editorial

"This new edition of EJBRM once again offers readers a range of interesting ideas concerning various options available to the academic researcher working in the business and management field of study.

With regards to research methodology the business and management field of study has much to offer the researcher in a number of respects. The first reason for this is that this field of study is so broad and so many interesting topics fall within its ambit. This is of course and advantage as well as a major challenge for the academics who work in this field of study. Different topics have different research methodology potentials and so researchers have much to choose from.

There is also the question of the fact that there is a stream of new and interesting ideas being generate as to how to tackle both new as well as well established research topics.

For this issue papers of topics such as ""Can methodological applications develop critical thinking?"" (Blackman and Benson), ""Getting the most from NUD•IST/Nvivo"" (Dean and Sharp), ""Applying Multidimensional Item Response Theory Analysis to a Measure of Meta‑Perspective Performance"" (Kacmar et al), ""A few proposals for designing and controlling a doctoral research project in management sciences"" (Lauriol), ""Validation of Simulation based Models: a Theoretical Outlook"" (Martis), ""Motivators for Australian consumers to search and shop online"" (Michael), ""A case study on the selection and evaluation of software for an Internet organisation"" (van Staaden and Lubbe) have been accepted.

I trust that readers will find these papers as interesting as I have."

 

Keywords: Black Box testing, business process, CAQDAS, coding and reporting, commercial software system, consumer behaviour, critical thinking, dynamic models, evaluation, internet, interpreting data transcription, item response theory, modeling motivating factors, NUD*IST/NVivo, qualitative research reporting, request for proposal (RFP), research methodology, scale development simulation, software, validation process, validation schemes, validation, vendors

 

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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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