How couples think about money: Types of money motives and relationship satisfaction
Bibliographic record
Abstract
Abstract Two studies examined how financial values held by romantic partners were linked with relationship satisfaction. Across a sample of married individuals ( N = 628), and a dyadic sample ( N = 236), results suggest that holding or perceiving a romantic partner to hold integrated money motives—wanting to earn money to feel pride, establish one's worth, facilitate freedom, and enrich leisure activities—was linked with better relationship satisfaction. Holding or perceiving a romantic partner to hold nonintegrated money motives—wanting to earn money to enable impulse spending, to feel better than others, and to overcome self‐doubt—was linked with worse relationship satisfaction. In both samples, perceived similarity in money motives between the self and the partner was also linked to higher relationship satisfaction. Study 2 further showed that actual similarity between partners in nonintegrated money motives was also linked to better relationship satisfaction, suggesting that even nonintegrated money motives might benefit relationships, as long as both partners share these motives. Overall, these studies suggest that while holding similar financial values as your partner is linked with better relationships, some financial values are more conducive to relationship satisfaction than others.
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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 | 0.001 |
| 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".