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Predicting Child Welfare Future Plac...

Benesh, Andrew S.

Predicting Child Welfare Future Placements for Foster Youth : = An Application of Statistical Learning to Child Welfare.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Predicting Child Welfare Future Placements for Foster Youth :/
Reminder of title:	An Application of Statistical Learning to Child Welfare.
Author:	Benesh, Andrew S.
Description:	1 online resource (133 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.
Contained By:	Dissertation Abstracts International78-10A(E).
Subject:	Social work. -
Online resource:	click for full text (PQDT)
ISBN:	9781369863239

Predicting Child Welfare Future Placements for Foster Youth : = An Application of Statistical Learning to Child Welfare.
Benesh, Andrew S.

Predicting Child Welfare Future Placements for Foster Youth :An Application of Statistical Learning to Child Welfare. - 1 online resource (133 pages)

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.

Thesis (Ph.D.)--The Florida State University, 2017.

Includes bibliographical references

PROBLEM: Limited understanding of factors that lead to placement disruption and entry into higher levels of care has been a longstanding problem in child welfare research and practice. While prior research has successfully identified some variables that are associated with placement instability, these findings are limited by methodological shortcomings and limited evidence of predictive utility.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369863239Subjects--Topical Terms:

1008643
Social work.
Index Terms--Genre/Form:

554714
Electronic books.

Predicting Child Welfare Future Placements for Foster Youth : = An Application of Statistical Learning to Child Welfare.
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020 $a 9781369863239
035 $a (MiAaPQ)AAI10258386
035 $a (MiAaPQ)fsu:13717
035 $a AAI10258386
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100 1 $a Benesh, Andrew S. $3 1193755
245 1 0 $a Predicting Child Welfare Future Placements for Foster Youth : $b An Application of Statistical Learning to Child Welfare.
264 0 $c 2017
300 $a 1 online resource (133 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.
500 $a Adviser: Ming Cui.
502 $a Thesis (Ph.D.)--The Florida State University, 2017.
504 $a Includes bibliographical references
520 $a PROBLEM: Limited understanding of factors that lead to placement disruption and entry into higher levels of care has been a longstanding problem in child welfare research and practice. While prior research has successfully identified some variables that are associated with placement instability, these findings are limited by methodological shortcomings and limited evidence of predictive utility.
520 $a METHOD: This study attempts to use child, caseworker, and caregiver factors to predict placement type and change in level of care over an 18 month period using random forest modeling. Data from the NSCAW I LTFC sample were used to train and evaluate predictive models.
520 $a RESULTS: Models predicting placement type performed fairly, while models attempting to predict changes in level of care were unsuccessful.
520 $a CONCLUSIONS: Future research should continue to consider nonlinear methods for evaluating child welfare outcomes. Consideration of a broader range of variables, localized data, and alternative measurement approaches are suggested.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Social work. $2 bicssc $3 1008643
650 4 $a Individual & family studies. $3 1181440
655 7 $a Electronic books. $2 local $3 554714
690 $a 0452
690 $a 0628
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The Florida State University. $b Family & Child Sciences. $3 1188274
773 0 $t Dissertation Abstracts International $g 78-10A(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10258386 $z click for full text (PQDT)

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