Development of the Readiness for Psychotherapy Index
Bibliographic record
Abstract
Evaluation of the probability of success is an important task when selecting patients for psychotherapy. Discussions of selection criteria for psychotherapy often focus on variables that reflect the patient's "readiness." Readiness refers to the patient's positive attitude and preparedness to enter into a therapeutic relationship for the purpose of resolving problems. Although the concept of readiness is generally regarded as highly important, no widely accepted measure of it exists. The objective of the present study was to develop an efficient yet comprehensive measure of readiness for psychotherapy, called the Readiness for Psychotherapy Index (RPI). The study resulted in a 20-item scale that assessed 4 aspects of readiness. All 4 factors had high internal consistencies (> or = 0.70). We found evidence for the convergent and discriminant validity of the RPI. The findings suggest that the RPI may be a useful tool that can be used to assist with the selection of patients for psychotherapy.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".