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Using Qualitative Data-Mining for Practice Research in Child Welfare.

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Title: Using Qualitative Data-Mining for Practice Research in Child Welfare.
Authors: Henry, Colleen, Carnochan, Sarah, Austin, Michael J.
Source: Child Welfare. 2014, Vol. 93 Issue 6, p7-26. 20p.
Subjects: Data mining -- Social aspects, Child welfare, Qualitative research, Databases, Case studies
Geographic Terms: United States
Abstract: Qualitative data-mining (QDM), using the narrative data contained in child welfare case records, enables researchers to examine child welfare practice using relatively non-intrusive methods. QDM can increase our understanding of client populations and problems, child welfare worker actions, and case complexity. This paper reports on experiences from the Child Welfare Qualitative Data- Mining Project; outlines a seven-step guide to QDM methods; and describes how QDM can be used to enhance child welfare practice, research, and education. [ABSTRACT FROM AUTHOR]
Copyright of Child Welfare is the property of Child Welfare League of America 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: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
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  Data: Using Qualitative Data-Mining for Practice Research in Child Welfare.
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  Data: <searchLink fieldCode="AR" term="%22Henry%2C+Colleen%22">Henry, Colleen</searchLink><br /><searchLink fieldCode="AR" term="%22Carnochan%2C+Sarah%22">Carnochan, Sarah</searchLink><br /><searchLink fieldCode="AR" term="%22Austin%2C+Michael+J%2E%22">Austin, Michael J.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Child+Welfare%22">Child Welfare</searchLink>. 2014, Vol. 93 Issue 6, p7-26. 20p.
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  Data: Qualitative data-mining (QDM), using the narrative data contained in child welfare case records, enables researchers to examine child welfare practice using relatively non-intrusive methods. QDM can increase our understanding of client populations and problems, child welfare worker actions, and case complexity. This paper reports on experiences from the Child Welfare Qualitative Data- Mining Project; outlines a seven-step guide to QDM methods; and describes how QDM can be used to enhance child welfare practice, research, and education. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Child Welfare is the property of Child Welfare League of America 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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      – SubjectFull: Data mining -- Social aspects
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      – SubjectFull: Child welfare
        Type: general
      – SubjectFull: Qualitative research
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      – SubjectFull: Databases
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      – SubjectFull: Case studies
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      – SubjectFull: United States
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      – TitleFull: Using Qualitative Data-Mining for Practice Research in Child Welfare.
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              Text: 2014
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            – TitleFull: Child Welfare
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