Measurement Invariance of the Appearance Schemas Inventory–Revised and the Body Image Quality of Life Inventory Across Age and Gender
Why this work is in the frame
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Bibliographic record
Abstract
The majority of body image measures have largely been developed with younger female samples. Before these measures can be applied to men, and to middle-aged and older women, and used to make gender and age comparisons, they must exhibit adequate cross-group measurement invariance. This study examined the age and gender cross-group measurement invariance of the Appearance Schemas Inventory-Revised (ASI-R) and the Body Image Quality of Life Inventory (BIQLI), with a sample of 1,262 adults (422 men and 840 women) aged 18 to 98 years. For the ASI-R, all groups met requirements for configural and metric invariance. Scalar invariance was found only for the three age groups, which indicated that mean comparisons may be conducted across gender for young, middle-aged, and older adults but should not be conducted across age groups within either gender. Results for the BIQLI indicated that observed mean comparisons may be conducted across all age and gender groups.
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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 | 0.002 | 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 | 0.001 |
| 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