The use of qualitative data analysis software (QDAS) to manage and support the analysis of Think Aloud (TA) data

Document identifier: oai:dalea.du.se:1647
Publication year: 2006
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Abstract:

This methodological paper describes how qualitative data analysis software (QDAS) is being used to manage and support a three-step protocol analysis (PA) of think aloud (TA) data in a study examining emergency nurses' reasoning during triage. The authors believe that QDAS program QRS NVivo will greatly facilitate the PA and will allow them to identify and describe the information that triage nurses concentrate on during triage, and how they structure this information to make a triage decision. These findings could assist in designing and creating decision support systems to guide nurses' triaging. Additionally, details about how to use QRS NVivo for PA of TA data may assist and guide future informatics research using similar methodology are presented here. This innovative use of QDAS holds great promise for future nursing informatics research.

Authors

K Göransson

Other publications >>

Anna Ehrenberg

Högskolan Dalarna; Omvårdnad
Other publications >>

M Ehnfors

Other publications >>

M Fonteyn

Other publications >>

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        identifier: oai:dalea.du.se:1647
        datestamp: 2021-04-15T12:55:28Z
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                recordCreationDate: 2006-01-26
            identifier: http://urn.kb.se/resolve?urn=urn:nbn:se:du-1647
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                    lang: eng
                title: The use of qualitative data analysis software (QDAS) to manage and support the analysis of Think Aloud (TA) data
            abstract: 
This methodological paper describes how qualitative data analysis software (QDAS) is being used to manage and support a three-step protocol analysis (PA) of think aloud (TA) data in a study examining emergency nurses' reasoning during triage. The authors believe that QDAS program QRS NVivo will greatly facilitate the PA and will allow them to identify and describe the information that triage nurses concentrate on during triage and how they structure this information to make a triage decision. These findings could assist in designing and creating decision support systems to guide nurses' triaging. Additionally details about how to use QRS NVivo for PA of TA data may assist and guide future informatics research using similar methodology are presented here. This innovative use of QDAS holds great promise for future nursing informatics research.

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                languageTerm: eng
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                Published
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                        Göransson
                        K
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                        Ehrenberg
                        Anna
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                        Högskolan Dalarna
                        Omvårdnad
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                        0000-0002-3964-196X
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                        type: personal
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                        Ehnfors
                        M
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                        Fonteyn
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            originInfo: 
                dateIssued: 2006
                publisher: IOS Press
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                titleInfo: 
                    title: Studies in Health Technology and Informatics
                identifier: 
                    0926-9630
                    1879-8365
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                        number: 122
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                        start: 143
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