Empirical Methods for Studying Decision-Making in Child Welfare and Protection

No Thumbnail Available
Publication date
2020
Authors
Gautschi, Joel
Benbenishty, Rami
Journal Title
Journal ISSN
Volume Title
Publisher
Oxford University Press
Abstract
Studying the complex nature of decision-making in child welfare and protection is challenging. Researcher in this field uses various empirical methods, each with its advantages and limitation. This chapter describes the current state of the art of the most prominent empirical methods used to study this subject and to identify empirical methods from other fields, with the potential to advance decision-making research in child protection. The authors briefly describe methods for decision-making research, give examples of how these methods were used, and critically assess their strengths and limitations. “Black-box” input-output analysis is reviewed, and the authors describe the use of case files and administrative data, agency surveys, and experimental designs with simulated cases. The chapter then describes methods to trace decision processes based on verbalization (think-aloud), behavior (tracing information acquisition), and people’s sense-making in everyday contexts (ethnographic observations). The review ends with recommendations of future directions for research on decision-making in child protection.
Description
Keywords
empirical methods, decision-making
Citation
Citation
GAUTSCHI, Joel und Rami BENBENISHTY, 2020. Empirical Methods for Studying Decision-Making in Child Welfare and Protection. In: John D. FLUKE, Mónica LÓPEZ LÓPEZ, Rami BENBENISHTY, Erik J. KNORTH und Donald J. BAUMANN (Hrsg.), Decision-Making and Judgement in Child Welfare and Protection. Theory, Research, and Practice. New York: Oxford University Press. 2020. S. 57–80. ISBN 9780190059552. Verfügbar unter: https://irf.fhnw.ch/handle/11654/31606.1
Endorsement
Review
Supplemented By
Referenced By

Version History

Now showing 1 - 2 of 2
VersionDateSummary
2021-03-18 22:14:55
Schreibfehler im Titel des Sammelbandes
1*
2020-08-24 15:08:04
* Selected version