Study Analyzing the Role of Nomophobia Tendencies with Friendship Quality: A Study of Indonesian College Students
Bibliographic record
Abstract
Introduction: Smartphones have become a primary need in the technological era. However, anxiety can arise when individuals are not near their smartphones, which is known as nomophobia. This study aims to determine the relationship between nomophobia tendencies and friendship quality. Methods: This research uses a quantitative correlational method with a cross-sectional design. A sample of 371 students aged 18-25 years in Indonesia was taken using non-probability convenience sampling. Data were collected using the nomophobia questionnaire (NMP-Q) and the McGill Friendship Questionnaire-Friend's Functions (Short) (MFQ-FFS) questionnaires. Results: The results showed that there was a significant relationship between nomophobia tendencies and friendship quality (r = 0.294 and p = 0.000). The higher an individual's nomophobia tendencies, the higher the quality of friendships formed. Conclusion: Nomophobia has a positive relationship with friendship quality. This shows that individuals with nomophobia tendencies find it easier to establish and maintain friendly relationships.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".