The client “experiencing” scale as a predictor of treatment outcomes: A meta-analysis on psychotherapy process
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: The experiencing scale (EXP) is an often used measure of client's depth of processing and meaning-making in-session. While research suggests that "client experiencing" predicts psychotherapy outcomes, this relationship has never been summarized in a meta-analysis. We examine this specific client factor as an in-session process predictor of good treatment outcomes. METHOD: A meta-analysis quantified the relationship between client experiencing and therapy outcomes using a total of 10 studies and 406 clients. RESULTS: Analysis indicated that client experiencing is a small to medium predictor of standardized symptom improvements at final treatment outcomes with an effect of r = -.19 (95% CI -.10 to -.29), which we consider a "best estimate" for robustly quantifying the association between EXP and self-reported clinical outcomes. However, effects were higher (i.e., r = -.25) when observational measures of outcome were also included: Subgroup analyses indicated that EXP effects were moderated by the modality of outcome measurement (i.e., symptom reports vs. observational measures). On the other hand, statistical index, treatment phase, or treatment approach did not have significant impacts, which addresses some perennial questions in the EXP literature. CONCLUSIONS: Client experiencing is a small to medium predictor of treatment outcomes and a probable common factor.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it