Understanding the Association Between Offline Psychological Need Satisfaction and Social Media Related Bedtime Procrastination
Bibliographic record
Abstract
Do the basic psychological needs for autonomy, competence and relatedness play a role in university students procrastinating their bedtime to use social media?This study examined whether lower offline psychological need satisfaction was related to more social media related bedtime procrastination amongst university students, and whether this negative association was stronger for students who perceived that their nighttime social media use satisfied their basic psychological needs.University students (N = 644, Mage = 19.8,Female = 69.7%)completed several online self-report measures at one time point.After adjusting for several covariates, offline psychological need satisfaction was not associated with social media related bedtime procrastination (β = -.00,p = .99),and this association did not depend on nighttime social media psychological need satisfaction (β = -.02,p = .66).Offline psychological needs satisfaction was also not indirectly related to subjective sleep quality via social media related bedtime procrastination (b = .00,95% CI[-.01, .01]).These findings suggest that perceptions of basic psychological need satisfaction both offline and through nighttime social media use are not related to social media related bedtime procrastination amongst university students.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".