Life satisfaction and Maslow's hierarchy of needs: an international analysis of the world values survey
Bibliographic record
Abstract
To assess Maslow's hierarchy of needs ability to predict life satisfaction, the present study utilised Wave-7 (2017-2020) of the World Values Survey. Data included measures for each level in Maslow's hierarchy for 69,000 individuals across 48 nations. Maslow's hierarchy of needs hypothesised greater life satisfaction would be identified among respondents with greater health satisfaction at the first level; financial satisfaction and income at the second level; importance of family, friends, and love and belonging at the third level; and importance of work, leisure, and self-esteem at the fourth level. Analyses at both respondent and national levels were supportive. Among respondents, life satisfaction was predicted by financial satisfaction, health, family, friends, work, and leisure; among nations, only financial satisfaction was significant, regardless of wealth distribution. These findings offer important insight into Maslow's hierarchy and life satisfaction, highlighting financial satisfaction as a salient factor in the enjoyment of a satisfying life.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".