Bayesian Analysis for Evidence-based Practice in Social Work
Bibliographic Data
| ID | 12789936 |
|---|---|
| Authors | James D Stamey (0000-0002-3787-6490, Baylor University, corresponding author), J Stamey, Michael E Sherr (Baylor University), N J Williams, Nicola Williams (0000-0003-4709-4190, Center Point) |
| Year | 2011 |
| Volume | 35 |
| Issue | 1 |
| Pages | 46-52 |
| Publication date | 2011-03-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Social Work Research (JOURNAL) |
| Journal identifiers | ISSN: 1545-6838 • E-ISSN: 1070-5309 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/swr/35.1.46 |
| OpenAlex | W1963571523 |
| Language | EN |
| Citations received | 3 |
The article discusses the use of Bayesian analysis as a statistical paradigm conducive to addressing the challenges of evidence-based practice (EBP) in social work research and practice. The author suggests that, unlike classical statistical analysis, Bayesian analysis allows researchers to translate practice wisdom into evidence and incorporate data from past and present studies. A comparison of classical statistical analysis and Bayesian statistical analysis in social work is presented
Library science · Media studies · Political science · Sociology · Computer Science · Geriatric Care and Nursing Homes · Social Work Education and Practice · Social Work · Law
| Citations per year | 0.6 |
|---|---|
| Citation span | 2021 - 2025 (5) |
| Highly cited | No |