Validation of the Everyday Ageism Scale Using Confirmatory Factor Analysis and Item Response Theory
Bibliographic record
Abstract
The Everyday Ageism Scale is a self-report measure of ageism in older adults. To our knowledge, this scale has yet to undergo item response theory (IRT) analysis to evaluate its item-level properties. Our objective was to evaluate its reliability, structural validity, and item functioning. We conducted confirmatory factor analysis and IRT using data collected from 486 older adults. The Everyday Ageism Scale demonstrated acceptable McDonald's omega coefficients and good model fit with its previously identified three-factor structure. Our findings also revealed items that provided the highest level of measurement precision and adequately/inadequately differentiated between respondents reporting varying levels of ageism. The Everyday Ageism Scale is a valid and reliable instrument for assessing ageism among North American older adults, though items 8-10 may require refinement to improve their discriminatory and predictive power. Future investigations are needed to establish cross-cultural validation.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".