Therapist emotional reactions and client resistance in cognitive behavioral therapy.
Bibliographic record
Abstract
Although extensively discussed in theoretical papers, empirical studies of therapist emotional reactions to clients are lacking, particularly within the context of client resistance and cognitive-behavioral therapy (CBT). The present study examined the early positive and negative emotional reactions to clients of four therapists, together with observed client in-session resistance, and changes in resistance from early to midtreatment, in a sample of 30 outpatients receiving eight sessions (14 hr) of CBT for generalized anxiety disorder. Findings indicated that greater therapist early positive reactions to clients, especially liking, enjoyment, and attachment, were associated with significantly lower levels of client resistance midtreatment and greater reductions in client resistance from early to midtreatment. These effects were independent of therapist competence in delivering CBT, suggesting a potentially unique and important role for therapist feelings about clients beyond the skillful delivery of treatment techniques. Greater early negative therapist reactions to clients were less consistently related to client resistance but power struggles, and feeling drained, helpless, guilty, and frustrated were associated with higher levels of client subsequent resistance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".