Neuroticism versus emotionality as mediators of the negative relationship between materialism and well-being
Bibliographic record
Abstract
The purpose of the study was to investigate the relationship between, neuroticism, emotionality well-being and materialism. A series of mediation analyses were conducted with data obtained from a set of questionnaires completed by University students. The results indicated that neuroticism and emotionality were mediators in the well-being-materialism relationship. However, this relationship is dependent upon whether neuroticism or emotionality is measured as the three neuroticism measures utilized were significant mediators whereas the HEXACO emotionality scale was not. A facet-level analysis was conducted with the IPIP-NEO facets of volatility and withdrawal and with the HEXACO facets of sentimentality/dependence and withdrawal. In either case, withdrawal was a significant mediator in the materialism well-being relationship, whereas volatility or sentimentality/dependence was not. The results highlight the differences between neuroticism and HEXACO emotionality and add additional insight into the relationship between materialism and lower well-being. These findings suggest possible methods of decreasing materialistic tendencies and increasing subjective well-being.
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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 | 0.001 |
| 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 | 0.000 |
| 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 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".