Surfacing and Ranking the Forces That Shape Frontline Practice: A Step-by-Step Force Field Analysis Within a Quasi-Delphi Design for Assessing Risk Assessment and Decision-Making Among Child Protective Services Workers

Frontline child protective services (CPS) workers make consequential safety decisions under time pressure, with incomplete information, and amid high public scrutiny (Saxena & Guha, 2024). Yet the forces practitioners perceive as driving or impeding effective practice are inconsistently captured in research. This article presents a replicable, step-by-step methodological framework that combines Kurt Lewin’s force field analysis (Lewin, 1947) with a two-round quasi-Delphi design (Cuhls, 2023) to surface, name, and rank the driving and restraining forces that shape risk assessment and decision-making in child welfare. The framework is organized into four phases and twelve steps: design and preparation; a Round 1 open-ended elicitation analyzed through inductive content analysis (Hsieh & Shannon, 2005); a Round 2 ranking by an independent practitioner panel; and aggregation, force field construction, prioritization, and dissemination. Each step is illustrated with a worked example drawn from a study of CPS workers’ risk assessment and placement decision-making for young children (Landress, 2024). In that study, support systems (M = 4.62) emerged as the strongest driving force for decision-making, and system inefficiencies (M = 4.29) as the strongest restraining force. Interagency collaboration and communication appeared as dual-valence forces within risk management, ranking first among driving forces (M = 4.50) and second among restraining forces (M = 3.38). The article concludes with a reporting checklist to support transparent replication. The framework offers researchers, administrators, and quality-improvement teams a low-cost, practitioner-centered method for identifying high-leverage intervention targets.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-30
DOI
https://doi.org/10.5281/zenodo.20453776
Primary Topic
Child Abuse and Trauma
Type
preprint
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preprint

Surfacing and Ranking the Forces That Shape Frontline Practice: A Step-by-Step Force Field Analysis Within a Quasi-Delphi Design for Assessing Risk Assessment and Decision-Making Among Child Protective Services Workers

H.N. Landress
Zenodo (CERN European Organization for Nuclear Research)
Child Abuse and Trauma
preprint

Surfacing and Ranking the Forces That Shape Frontline Practice: A Step-by-Step Force Field Analysis Within a Quasi-Delphi Design for Assessing Risk Assessment and Decision-Making Among Child Protective Services Workers

H.N. Landress
preprint en

Abstract

Frontline child protective services (CPS) workers make consequential safety decisions under time pressure, with incomplete information, and amid high public scrutiny (Saxena & Guha, 2024). Yet the forces practitioners perceive as driving or impeding effective practice are inconsistently captured in research. This article presents a replicable, step-by-step methodological framework that combines Kurt Lewin’s force field analysis (Lewin, 1947) with a two-round quasi-Delphi design (Cuhls, 2023) to surface, name, and rank the driving and restraining forces that shape risk assessment and decision-making in child welfare. The framework is organized into four phases and twelve steps: design and preparation; a Round 1 open-ended elicitation analyzed through inductive content analysis (Hsieh & Shannon, 2005); a Round 2 ranking by an independent practitioner panel; and aggregation, force field construction, prioritization, and dissemination. Each step is illustrated with a worked example drawn from a study of CPS workers’ risk assessment and placement decision-making for young children (Landress, 2024). In that study, support systems (M = 4.62) emerged as the strongest driving force for decision-making, and system inefficiencies (M = 4.29) as the strongest restraining force. Interagency collaboration and communication appeared as dual-valence forces within risk management, ranking first among driving forces (M = 4.50) and second among restraining forces (M = 3.38). The article concludes with a reporting checklist to support transparent replication. The framework offers researchers, administrators, and quality-improvement teams a low-cost, practitioner-centered method for identifying high-leverage intervention targets.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Child Abuse and Trauma
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