Measurement of Symptom Change Following Web-Based Psychotherapy: Statistical Characteristics and Analytical Methods for Measuring and Interpreting Change

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This paper examines statistical methods for measuring symptom change in web-based psychotherapy using PHQ-9 data from over 1,000 participants. It compares linear and proportional change models, finding that proportional functions better fit the data and reduce measurement error. The resource is intended for researchers or clinicians interested in the analytical aspects of treatment outcome assessment.

ID
57ee1ebc5e0243d6
Source org
OpenAlex
Author
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Published
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OA status
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DOI
10.2196/10200
PMID
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BibTeX

@article{allodium:57ee1ebc5e0243d6,
  title = {Measurement of Symptom Change Following Web-Based Psychotherapy: Statistical Characteristics and Analytical Methods for Measuring and Interpreting Change},
  journal = {OpenAlex},
  doi = {10.2196/10200},
  url = {https://doi.org/10.2196/10200}
}

RIS

TY  - JOUR
TI  - Measurement of Symptom Change Following Web-Based Psychotherapy: Statistical Characteristics and Analytical Methods for Measuring and Interpreting Change
PB  - OpenAlex
DO  - 10.2196/10200
UR  - https://doi.org/10.2196/10200
ER  -

APA

Measurement of Symptom Change Following Web-Based Psychotherapy: Statistical Characteristics and Analytical Methods for Measuring and Interpreting Change. (n.d.). OpenAlex. https://doi.org/10.2196/10200

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