Realist Evaluation in Wraparound
A New Approach in Social Work Evidence-Based Practice
Bibliographic Data
| ID | 12386257 |
|---|---|
| Authors | Mansoor A F Kazi (School of Social Work, University at Buffalo, The State University of New York, Buffalo, NY, USA,, corresponding author), Brian Pagkos (Community Connections of New York, NY, USA), Heidi A Milch (Community Connections of New York, NY, USA) |
| Year | 2010 |
| Volume | 21 |
| Issue | 1 |
| Pages | 57-64 |
| Publication date | 2010-08-18 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Research on Social Work Practice (JOURNAL) |
| Journal identifiers | ISSN: 1049-7315 • E-ISSN: 1552-7581 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/1049731510371345 |
| OpenAlex | W2005389009 |
| Language | EN |
| Citations received | 5 |
| References cited | 19 |
Objectives: The purpose of this study was to develop a realist evaluation paradigm in social work evidence-based practice. Method: Wraparound (at Gateway-Longview Inc., New York) used a reliable outcome measure and an electronic database to systematically collect and analyze data on the interventions, the client demographics and circumstances, and the outcomes. Results: Research designs (e.g., single-system and group) can fall into place naturally and patterns in the data can be investigated using data analysis approaches such as binary logistic regression. Conclusions: Realist evaluation can be performed at regular intervals when an outcome measure is repeated, with the purpose of investigating what interventions work and in what circumstances
Data mining · Data science · Demographics · Logistic regression · Machine learning · Measure (data warehouse · Outcome (game theory · Psychological intervention · Sociology · Work (physics · Applied Psychology · Computer Science · Engineering · Geriatric Care and Nursing Homes · Interprofessional Education and Collaboration · Psychology · Social Work Education and Practice · Social Work
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| Citations per year | 0.36 |
|---|---|
| Citation span | 2012 - 2023 (12) |
| Highly cited | No |