Mediating Role of Sense of Belonging between Diffusive Identity Style and Personal Accountability: Moderation by Friends' Support in Pakistan
Bibliographic record
Abstract
The present study purposed moderating the role of friends’ support for the direct and indirect effect of diffusive identity style on personal accountability mediated thorough a sense of belonging. The sample included 500 university students (Male = 244 and Female = 256), age ranging from 18-25 years (M±SD = 20.35±1.54) from different Pakistani universities including Islamabad, Rawalpindi, Lahore and Mandi Bahauddin. Data was collected on Identity Styles (Berzonsky, 2013), Sense of Belonging (Hagerty & Patusky, 1995), Sense of Responsibility (Mergler, 2016) and Multidimensional Scale of Perceived Social Support (Zimet, Dahlem, Zimet, & Farley, 1988) along with a detailed demographic sheet. The purposed mediated moderation was tested using Process Macro (Hayes, 2013). The results showed that the effect of diffusive identity style on personal accountability is mediated through sense of belonging-psychological measures. Additionally, results showed that an indirect effect through a mediator is moderated by friends’ support. With low level of friends’ support, the effect of diffusive identity style through a sense of belonging is non-significant but as friends’ support increases, diffusive identity contributes towards a sense of belonging-psychological measures resulting in decreased personal accountability. It is recommended that any intervention involving friends support shall be accounted for individuals’ own identity style.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 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) | 0.003 | 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".