Bibliographic Details
| 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] |
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| Database: |
Psychology and Behavioral Sciences Collection |
