From diagnostic criteria to change processes: validation of the Korean process-based assessment tool using a machine learning approach
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Recent methodological developments, such as the Process-Based Assessment Tool (PBAT), use machine learning-based variable selection to identify constructs with the strongest predictive value for mental health outcomes.
“For example, recent methodological developments, such as the Process-Based Assessment Tool (PBAT), use machine learning-based variable selection to identify constructs with the strongest predictive value for mental health outcomes, 40,41 offering a novel approach for this purpose.”
From Differential associations of Acceptance and Commitment Therapy processes with psychological distress across racial groups. (2026) · cites this paper as [41]
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Jo, D., deDios, C. I. C., An, K., & Valdez Morales, E. M. (2026) · Journal of American College Health · doi:10.1080/07448481.2026.2727944
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- Authors
- Jo, D., Im, S., Lee, E., Sundström, F., & Yang, E.
- Affiliations
- University of Houston (US)
- Korea University (KR)
- Uppsala University (SE)
- Corresponding author
- Yang, Eunjoo
- Venue
- Cognitive Therapy and Research
- Published
- 2025-12-03
- ISSN
- 0147-5916 (ISSN-L)
- 1573-2819
- OpenAlex
- W4416933287
- Cited by
- 1
- References
- 36
- Citations by year
- 2026: 1
- FWCI
- 0.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Cognitive Therapy and Research (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- Korean adaptation, criterion validity, test-retest reliability, Boruta algorithm, psychological distress, life satisfaction, frustration, culturally adapted assessment
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