The Development and Validation of the Age-Based Rejection Sensitivity Questionnaire
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: There is much evidence suggesting that older adults are often negatively affected by aging stereotypes; however, no method to identify individual differences in vulnerability to these effects has yet been developed. The purpose of this study was to develop a reliable and valid questionnaire to measure individual differences in the tendency to anxiously expect, readily perceive, and intensely react to age-based rejection among older adults: the Age-Based Rejection Sensitivity Questionnaire (RSQ-Age). DESIGN AND METHODS: A pilot sample of older adults was asked to identify situations in which negative outcomes related to being an older adult might occur. From these responses, 58 scenarios representing 8 domains and themes were identified. Thirty initial items were created from this pool of scenarios, and this 30-item RSQ-Age underwent intensive testing and refinement to create the final 15-item RSQ-Age. The 15-item RSQ-Age was assessed for internal and test-retest reliability, as well as construct validity. RESULTS: Results revealed that the RSQ-Age has good internal (alpha = .91) and test-retest, r(72) = .74, p < .01, reliability and is a valid measure of age-based rejection sensitivity (RS). Construct validity was supported by correlations with personal RS, age-based stigma consciousness, self-consciousness, awareness of ageism, and self-esteem. IMPLICATIONS: The RSQ-Age is a useful measure for researchers and health care workers interested in the relationships between expectancy, perceptions, and reactions to age-based stigma and subsequent cognitive, behavioral, and health-related consequences.
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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 | 0.001 | 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 | 0.001 | 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 it