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Using classification and regression trees (CART) to support worker decision making.

A study was conducted to examine the utility of classification and regressions trees (CART) analysis in a social work setting. Data were gathered from a national study of child protective services screening practices to identify factors involved with worker decisions to investigate child maltreatme...

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Published in:Social Work Research Vol. 26; no. 1; pp. 19 - 30
Main Authors: Johnson, Michelle A., Brown, C. Hendricks, Wells, Susan J.
Format: Article
Published: National Association of Social Workers March 2002
Subjects:
Decision making in child welfare
Child welfare
Online Access:View this record in EBSCOhost
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        atl: Using classification and regression trees (CART) to support worker decision making.
      aug:
        au:
          Johnson, Michelle A.
          Brown, C. Hendricks
          Wells, Susan J.
      su:
        Decision making in child welfare
        Child welfare
      sug:
        subj:
          Decision making in child welfare
          Child welfare
      ab: A study was conducted to examine the utility of classification and regressions trees (CART) analysis in a social work setting. Data were gathered from a national study of child protective services screening practices to identify factors involved with worker decisions to investigate child maltreatment reports. Findings revealed that by better handling missing data and illustrating the interactions of multiple variables, CART provided a depth to the analysis that the logistic regression could not equal. Moreover, CART's graphical features and reported ease of use in clinical training and practice hold promise for enhancing service to clients and maximizing resources.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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