2006Irish Educational StudiesRequires access

An introduction to computerised analysis of qualitative data

Merike Darmody, Delma Byrne

Open publisher page 13 citations

Abstract

Over the last two decades there has been an increase in the use of qualitative research, particularly in the human sciences. Such a move has resulted in an increasing number of researchers across disciplines using various types of qualitative software specially designed for managing text and facilitating analysis of qualitative data. However, we feel that limited information is available on the nature and practical use of these programmes in the Irish context. This has led to various misconceptions regarding the use of such programmes. In addition, international literature has highlighted the importance of making the qualitative research process more transparent in terms of describing in detail the analytical procedures applied in qualitative research. This article seeks to open up the debate surrounding qualitative data analysis and provoke discussion about the use of qualitative software packages in educational research. Based on a mixed-methods educational research project involving a substantive qualitative component, this article explores the joy and despair associated with using Qualitative Solutions Research (QSR) Non-numerical Unstructured Data: Indexing, Searching and Theorizing Version 6 (‘N6 software’), and aims to dispel some of the myths that exist around using such software.

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What this paper is about

Over the last two decades there has been an increase in the use of qualitative research, particularly in the human sciences. Such a move has resulted in an increasing number of researchers across disciplines using various types of qualitative software specially designed for managing text and facilitating analysis of qualitative data. However, we feel that limited information is available on the nature and practical use of these programmes in the Irish context. This has led to various misconceptions regarding the use of such programmes. In addition, international literature has highlighted the importance of making the qualitative research process more transparent in terms of describing in detail the analytical procedures applied in qualitative research. This article seeks to open up the debate surrounding qualitative data analysis and provoke discussion about the use of qualitative software packages in educational research. Based on a mixed-methods educational research project involving a substantive qualitative component, this article explores the joy and despair associated with using Qualitative Solutions Research (QSR) Non-numerical Unstructured Data: Indexing, Searching and Theorizing Version 6 (‘N6 software’), and aims to dispel some of the myths that exist around using such software.

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Available abstract

Over the last two decades there has been an increase in the use of qualitative research, particularly in the human sciences. Such a move has resulted in an increasing number of researchers across disciplines using various types of qualitative software specially designed for managing text and facilitating analysis of qualitative data. However, we feel that limited information is available on the nature and practical use of these programmes in the Irish context. This has led to various misconceptions regarding the use of such programmes. In addition, international literature has highlighted the importance of making the qualitative research process more transparent in terms of describing in detail the analytical procedures applied in qualitative research. This article seeks to open up the debate surrounding qualitative data analysis and provoke discussion about the use of qualitative software packages in educational research. Based on a mixed-methods educational research project involving a substantive qualitative component, this article explores the joy and despair associated with using Qualitative Solutions Research (QSR) Non-numerical Unstructured Data: Indexing, Searching and Theorizing Version 6 (‘N6 software’), and aims to dispel some of the myths that exist around using such software.

Key concepts: Qualitative research, Qualitative property, Irish, Context (archaeology), Computer science, Software, Data science, Educational research

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