The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Psychotherapy: The humanistic (and effective) treatment.
Abstract
Although it is well established that psychotherapy is remarkably effective, the change process in psychotherapy is not well understood. Psychotherapy is compared with medicine and cultural healing practices to argue that critical aspects of psychotherapy involve human processes that are used in religious, spiritual, and cultural healing practices. A model of psychotherapy is presented that stipulates various aspects that involve uniquely human characteristics. Central to this model is patient acquisition of an adaptive explanation of his or her difficulties. Finally, the research evidence for this model is presented.
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Citations
Cites
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Self-citationPlate tectonics in the classification of personality disorder: Shifting to a dimensional model.
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Cited by
Rehabilitating criminal justice policy and practice
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Culturally adapted psychotherapy and the legitimacy of myth: A direct-comparison meta-analysis.
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Self-citationHow central is the alliance in psychotherapy? A multilevel longitudinal meta-analysis.
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Self-citationPositive Clinical Psychology: A new vision and strategy for integrated research and practice
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Expanding the lens of evidence-based practice in psychotherapy: A common factors perspective.
Laska, K. M., Gurman, A. S., & Wampold, B. E. (2014) · Psychotherapy · doi:10.1037/a0034332 · Cited by 443
Self-citation
Metadata
- Authors
- Wampold, B. E.
- Venue
- American Psychologist
- Published
- 2007
- Volume
- 62
- Issue
- 8
- Pages
- 857-873
- ISSN
- 0003-066X (ISSN-L)
- 1935-990X
- OpenAlex
- W1986701274
- Cited by
- 385
- References
- 19
- FWCI
- 15.75
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.