Confirmatory Factor Analysis of The Multidimensional Scale of Perceived Social Support in Clinically Distressed and Student Samples
Bibliographic record
Abstract
Previous authors (e.g., B. R. Sarason, Shearin, Pierce, & Sarason, 1987) have found that perceived social support can affect the emotional well-being of an individual. Consequently, the effective assessment of social supports is a key issue in both research and clinical practice. The Multidimensional Scale of Perceived Social Support (MSPSS; Zimet, Dahlem, Zimet, & Farley, 1988) divides perceived social support into 3 distinct constructs-that derived from Family members, from Friends, and from Significant Others. This study is the first to assess the MSPSS using confirmatory factor analysis in both a college student (N = 549) and psychiatric outpatient (N = 156) sample. Based on several goodness-of-fit indicators, a 3-factor model for the MSPSS was supported in both samples, as was a single, higher order domain of Global social support. The perceived social support factors of Family and Friends consistently had the strongest associations with symptomatology. These results support the use of the MSPSS as a brief instrument for assessing the hierarchical structure of perceived social support in a variety of samples.
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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 | 0.012 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".