Are assessment center behaviors' meanings consistent across exercises? A measurement invariance approach
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
To examine the appropriateness of a Multi‐Trait–Multi‐Method framework for testing construct validity of Assessment Centers (ACs) and get practical implications for the improved AC design, degree to which the AC dimension‐related performance behaviors consistently manifest across multiple AC rating situations was investigated. The present study used a large sample ( N = 5,006) to apply a measurement invariance analysis. AC rating situations generally produced consistent factor loadings for items on AC dimensions, item residuals, dimension factor variances, and covariance between dimensions. The AC rating situation of interview tended to produce higher ratings and less item residuals. These findings support the consistency in constructs assessed across different AC rating situations, while some exercises may be better for teasing apart particular dimensions than others.
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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 | 0.009 | 0.007 |
| 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 | 0.002 | 0.001 |
| Open science | 0.001 | 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