Conversations for Connection: An Outcome Assessment of the <i>Hold‐Me‐Tight Relationship‐Education</i> Program, and Recommendations for Improving Future Research Methodology in Relationship Education
Bibliographic record
Abstract
The Hold Me Tight (HMT) program is a new approach to relationship education based on Emotionally-Focused Therapy (Johnson, 2004), an evidence-based approach to couple therapy. In this exploratory longitudinal research, we examined individual growth in relationship satisfaction and trust for partners in 95 couples in 16 HMT groups across four occasions of measurement: Baseline, Pre-Program, Post-Program and at either 3- or 6-month Follow-Up. We found that relationship satisfaction and trust increased during program participation, and declined during follow-up. We believe our findings provide support for the short-term effectiveness of the HMT program, and suggest a longer period of program delivery may result in improved retention of gains. Finally, we present recommendations for improving the design of future longitudinal research in relationship education.
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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 | 0.003 | 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 | 0.001 | 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".