Matching children with placements

Schwab, A. James; Bruce, Michael E.; McRoy, Ruth G.

doi:10.1016/0190-7409(84)90029-x

Cited by 10 publications

(4 citation statements)

References 7 publications

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“…Thus, algorithms have been developed for almost every aspect of services provided by CWS in different states. For instance, models have been developed for predicting risk of future maltreatment event of a child [110], recommending appropriate placement settings [97] and matching children with foster parents who can meet the unique needs of every child [80]. Many of these algorithms have achieved various degrees of early successes and have shown to reduce costs [93] for CWS.…”

Section: Introductionmentioning

confidence: 99%

A Human-Centered Review of Algorithms used within the U.S. Child Welfare System

Saxena

Badillo-Urquiola

Wiśniewski

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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The U.S. Child Welfare System (CWS) is charged with improving outcomes for foster youth; yet, they are overburdened and underfunded. To overcome this limitation, several states have turned towards algorithmic decision-making systems to reduce costs and determine better processes for improving CWS outcomes. Using a human-centered algorithmic design approach, we synthesize 50 peer-reviewed publications on computational systems used in CWS to assess how they were being developed, common characteristics of predictors used, as well as the target outcomes. We found that most of the literature has focused on risk assessment models but does not consider theoretical approaches (e.g., child-foster parent matching) nor the perspectives of caseworkers (e.g., case notes). Therefore, future algorithms should strive to be context-aware and theoretically robust by incorporating salient factors identified by past research. We provide the HCI community with research avenues for developing human-centered algorithms that redirect attention towards more equitable outcomes for CWS.

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Section: Introductionmentioning

confidence: 99%

A Human-Centered Review of Algorithms used within the U.S. Child Welfare System

Saxena

Badillo-Urquiola

Wiśniewski

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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show abstract

“…The first study noted that the model could distinguish from program to program and provide a method for rank-ordering placement alternatives for youths (Schwab, Bruce, McRoy, 1984). The term "rank-ordering" is defined as the ability to make several placement recommendations along with the percentage of youths in each recommended placement whose characteristics corresponded to the characteristics of the youth being referred.…”

Section: Computer Support Modelsmentioning

confidence: 99%

Effectiveness of a Computer-Based Placement Decision Support System

Mssw¹,

Schoech²

1991

Residential Treatment For Children & Youth

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This study investigated the value of a computer decision support model to help select the most appropriate out of home placement for youths. Data gathered from a random sample of 50 youths committed to the Texas Youth Commission were used to complete the model's application form. A Pearson-product moment correlation was used to determine if ouths, whose placement corresponded to the model's recommen d ation, were more successful in their lacement than youths whose placement did not correspond.The P indings indicated that youths placed in agreement with the model were significantly more successful in their placement. Other variables, except neamess of social ties, did not significantly correlate with success. Further evaluative research IS recommended which would use a better measure of success and which would explore the importance of neamess of social ties. ZNTRODUCTZONPlacing youths in programs which meet their needs and result in successful adjustment has always challenged youth placement personnel. The latest enhancements to meet this challenge involve sophisticated computerized placement models. However, few studies --

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“…The effects of separation of children from their natural families and placement in alien environments are well documented (Adler, 1985;Ambert, 1982Ambert, , 1984Ambert & Saucier, 1983;Fuller, 1986;Schneider & Rimmer, 1984;Schwab, Bruce, & McRoy, 1984;Stinnett, King, & Rowe, 1980). The loss of the use of their native language prevents the preservation of ties to their original source of security (Montalvo, 1982).…”

Section: Implications For Educational and Social Counselingmentioning

confidence: 99%

The American Native Family: Dissolution by Coercion

Herring¹

1989

J Multicult Couns & Deve

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Matching children with placements

Cited by 10 publications

References 7 publications

A Human-Centered Review of Algorithms used within the U.S. Child Welfare System

A Human-Centered Review of Algorithms used within the U.S. Child Welfare System

Effectiveness of a Computer-Based Placement Decision Support System

The American Native Family: Dissolution by Coercion

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