Qualitative research: deductive and inductive approaches to data analysis.

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Title: Qualitative research: deductive and inductive approaches to data analysis.
Authors: Azungah, Theophilus1 t.azungah@auckland.ac.nz
Source: Qualitative Research Journal (Emerald Group Publishing Limited). 2018, Vol. 18 Issue 4, p383-400. 18p.
Subject Terms: *Qualitative research, *Deductive teaching, *Inductive teaching, *Data analysis, Personnel management, Communication in personnel management
Abstract: Purpose The purpose of this paper is to explain the rationale for choosing the qualitative approach to research human resources practices, namely, recruitment and selection, training and development, performance management, rewards management, employee communication and participation, diversity management and work and life balance using deductive and inductive approaches to analyse data. The paper adopts an emic perspective that favours the study of transfer of human resource management practices from the point of view of employees and host country managers in subsidiaries of western multinational enterprises in Ghana.Design/methodology/approach Despite the numerous examples of qualitative methods of data generation, little is known particularly to the novice researcher about how to analyse qualitative data. This paper develops a model to explain in a systematic manner how to methodically analyse qualitative data using both deductive and inductive approaches.Findings The deductive and inductive approaches provide a comprehensive approach in analysing qualitative data. The process involves immersing oneself in the data reading and digesting in order to make sense of the whole set of data and to understand what is going on.Originality/value This paper fills a serious gap in qualitative data analysis which is deemed complex and challenging with limited attention in the methodological literature particularly in a developing country context, Ghana. [ABSTRACT FROM AUTHOR]
Copyright of Qualitative Research Journal (Emerald Group Publishing Limited) is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Qualitative research: deductive and inductive approaches to data analysis.
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  Data: <searchLink fieldCode="AR" term="%22Azungah%2C+Theophilus%22">Azungah, Theophilus</searchLink><relatesTo>1</relatesTo><i> t.azungah@auckland.ac.nz</i>
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  Data: <searchLink fieldCode="JN" term="%22Qualitative+Research+Journal+%28Emerald+Group+Publishing+Limited%29%22">Qualitative Research Journal (Emerald Group Publishing Limited)</searchLink>. 2018, Vol. 18 Issue 4, p383-400. 18p.
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  Data: *<searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink><br />*<searchLink fieldCode="DE" term="%22Deductive+teaching%22">Deductive teaching</searchLink><br />*<searchLink fieldCode="DE" term="%22Inductive+teaching%22">Inductive teaching</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Personnel+management%22">Personnel management</searchLink><br /><searchLink fieldCode="DE" term="%22Communication+in+personnel+management%22">Communication in personnel management</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose The purpose of this paper is to explain the rationale for choosing the qualitative approach to research human resources practices, namely, recruitment and selection, training and development, performance management, rewards management, employee communication and participation, diversity management and work and life balance using deductive and inductive approaches to analyse data. The paper adopts an emic perspective that favours the study of transfer of human resource management practices from the point of view of employees and host country managers in subsidiaries of western multinational enterprises in Ghana.Design/methodology/approach Despite the numerous examples of qualitative methods of data generation, little is known particularly to the novice researcher about how to analyse qualitative data. This paper develops a model to explain in a systematic manner how to methodically analyse qualitative data using both deductive and inductive approaches.Findings The deductive and inductive approaches provide a comprehensive approach in analysing qualitative data. The process involves immersing oneself in the data reading and digesting in order to make sense of the whole set of data and to understand what is going on.Originality/value This paper fills a serious gap in qualitative data analysis which is deemed complex and challenging with limited attention in the methodological literature particularly in a developing country context, Ghana. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Qualitative Research Journal (Emerald Group Publishing Limited) is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1108/QRJ-D-18-00035
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      – Code: eng
        Text: English
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      – SubjectFull: Qualitative research
        Type: general
      – SubjectFull: Deductive teaching
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      – SubjectFull: Inductive teaching
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      – SubjectFull: Data analysis
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      – SubjectFull: Personnel management
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      – SubjectFull: Communication in personnel management
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              Text: 2018
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