A Meta-Analysis of the Association Between the Hold Me Tight Program and Couples’ Relationship Adjustment
Bibliographic record
Abstract
In this meta-analysis, the authors tested the overall effect of Hold Me Tight (HMT), a relationship education program for couples based in emotionally focused therapy, on couples’ relationship adjustment. Using a detailed search process, we identified and analyzed eight quantitative, single-group comparison studies. Studies included predominantly cisgender, straight couples (N = 310) in dyadic, monogamous relationships from the United States, Canada, and the Netherlands. The eight studies also included evaluations of online and in-person delivery methods, as well as eight-week groups and one- and two-day workshops. Across the studies, we found that participation in HMT was associated with a small, statistically significant effect (d = 0.377) on couples’ self-reported relationship adjustment, lending support that HMT may be an effective program for couples. Few available studies limited our ability to test additional outcomes or explore moderators of the effect, which are key areas for future research.
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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 | 0.014 | 0.037 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.040 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".