Broader Issues in Test Translation and Validation: A Commentary Inspired by Macina et al. (2023)
Bibliographic record
Abstract
Macina et al. (2023) recently reported mixed results on the German translation of the Self and Interpersonal Functioning Scale (SIFS). By focusing on suboptimal indices of structural validity, they recommended choosing other available instruments over the SIFS in future research on personality impairment. Reflecting on Macina et al.'s overall conclusions inspired us to consider broader issues in the field of personality impairment assessment. In this commentary, we discuss some issues regarding test translation and validity raised by Macina et al.'s article. We advise against assuming equivalence between original and translated versions of a test and discuss some caveats regarding comparison between different instruments based on structural validity. We also call into question whether the latter should be the litmus test for judging the quality of a measure. Finally, we discuss how the proliferation of personality impairment measures can benefit the broader field. Notably, this would allow moving toward a "what works for whom" approach that considers the match between psychometric property, desired use of the instrument, and characteristics of the target population.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".