Using Qualitative Data-Mining for Practice Research in Child Welfare


By bhadmin February 2, 2021

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.

Fahs-Beck Scholars

Meet the Scholars

Fahs-Beck Fellows

Meet the Fellows


Our grant programs are changing.


Learn more