Opening Minds Scale for Workplace Attitudes – German: Psychometric Validation of a Scale for Measuring Mental Illness Stigma in the Workplace (OMS-WA-G)
Bibliographic record
Abstract
The stigma associated with mental illness is linked to a range of adverse outcomes for those affected, including reduced quality of life and lower willingness to seek professional help. Stigmatization can also occur in the workplace, a central part of life for many people. Anti-stigma interventions such as the Canadian program The Working Mind (TWM) specifically target this setting. TWM was adapted for the German-speaking workplace context and implemented at the University of Greifswald. Despite the relevance of workplace-related stigma, validated instruments for measuring this construct in German are lacking. To address this gap, the Opening Minds Scale for Workplace Attitudes (OMS-WA; Lindsay et al., 2024), which has been employed in the Canadian evaluation of TWM, was translated into German and assessed for face and content validity. Moreover, although the effectiveness of programs such as TWM is well-documented, the mechanisms through which they reduce stigma remain largely unclear. A better understanding of these change mechanisms would facilitate the targeted development and refinement of interventions, enhance their theoretical grounding, and strengthen links to basic research on mental health stigma. The primary aim of the OMS-WA-VA project is the psychometric validation of the German version of the Opening Minds Scale for Workplace Attitudes (OMS-WA-G). This includes examining its factor structure, various aspects of validity, reliability, and sensitivity to change. The secondary aim is to investigate potential mechanisms of change in anti-stigma interventions for mental illness using a brief intervention. To address both aims, a two-wave online survey with a two-week interval will be conducted. Embedded within is a randomized controlled trial in which participants are assigned to one of two intervention conditions or an active control group. The study will examine whether the intervention’s effects on mental illness stigma are (partially) mediated by empathy, intergroup anxiety, and continuum beliefs. Additionally, the brief intervention allows for assessing the OMS-WA-G’s sensitivity to change.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".