Sense of Purpose in Life Predicts University Performance and Attrition
Bibliographic record
Abstract
Individual differences are important predictors of academic success. A sense of purpose in life is gaining increasing attention as a key individual difference factor to foster in university students. The current study examined whether a sense of purpose in life, a dispositional tendency to pursue goals and activities in line with one’s overarching life direction, predicted better academic success across several years of university. Students (n = 769) at a large, U.S. public university were asked to complete a baseline survey in the summer prior to entering university, which included measures for a sense of purpose and background characteristics. Students were then followed throughout their first three years of university. Results demonstrated that higher levels of purpose were associated with a higher grade point average (GPA), more credits earned, less credits dropped, and an increased odds of persisting through the first three years of university. A sense of purpose also appeared to buffer the negative effect of low entrance scores on university GPA. These findings support cultivating a strong sense of purpose prior to entering university as an effective means of improving a variety of academic outcomes.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".