The Predictive Capacity of Self-Reported Motivation vs. Observed Motivational Language in Cognitive Behavioural Therapy for Generalized Anxiety Disorder
Bibliographic record
Abstract
Client change motivation is considered a key factor in psychotherapy. Existing research on motivation has largely relied on self-report, which is prone to response bias and inconsistently related to treatment outcome. In contrast, early observed client in-session language may be a more valid measure of initial motivation. The present study investigated 85 clients undergoing cognitive behavioural therapy alone (CBT) or CBT infused with motivational interviewing (MI-CBT) for generalized anxiety disorder. The aims were: (1) to compare the predictive capacity of motivational language vs. self-reported motivation, and (2) to examine the influence of treatment condition on motivational language. Findings revealed motivational language explained up to 38% of outcome variance, even 1-year posttreatment. In contrast, self-reported motivation failed to predict outcome. Moreover, MI-CBT was associated with a decrease in detrimental motivational language compared to CBT alone. These findings support attending to motivational language in CBT and responding to these markers using MI.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".