Development and validation of the gift reciprocation anxiety scale (GRAS) for youths and adults in intimate relationships
Bibliographic record
Abstract
= 763). Next, the adequacy of the data for factor analysis was checked and exploratory factor analysis (EFA) was done, extracting a single factor structure which was confirmed through the same factor retention using parallel analysis (PA). Model fit indices of confirmatory factor analysis (CFA) validated the unifactorial solution of GRAS. In addition, the item response theory (IRT) analyses confirmed that the items of the GRAS had high discriminative power, satisfactory threshold parameters, and covered a wide range of the latent trait. Mean inter-item correlations, corrected item-total correlations, and internal consistency reliabilities of the newly developed GRAS fall within the suggested limits. Multi-group confirmatory factor analysis (MGCFA) revealed that the GRAS can invariably be applied across gender, age, and marital status. A moderately positive association of GRAS with reciprocity anxiety, depression, and anxiety indicated the convergent validity of the scale. Altogether, GRAS has been found to be a psychometrically sound tool to objectively measure gift reciprocation anxiety in close relationships, implicating gift reciprocation less as an obligation and more as signs of trust, commitment, security, and care for ensuring better intimate relationships.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".