Effects of a Neutral Response Option on Occupational Interest Circumplex Fit
Bibliographic record
Abstract
Abstract: Introduction: The purpose of this study was to compare the structural validity of Holland’s circular/hexagonal model in two versions of a commonly used Realistic, Investigative, Artistic, Social, Enterprising, Conventional (RIASEC) occupational interest measure – one that used items with a neutral response option ( unsure) and one that used items without a neutral response option. Method: These comparisons were made using a sample of 1,025 undergraduate university business majors. A two-group Cosine Function Model (CFM) implemented in standard structural equation modeling software was used to investigate the circumplex fit across the two versions of the assessment. Results: CFM analyses suggested a high level of equivalence across versions such that (1) the correlation matrix of each group shows a good fit to the RIASEC circumplex, and (2) the two correlation matrices are essentially identical. Conclusion: The neutral response option (or lack thereof) did not seem to affect model fit. The generalizability of these results should be explored in future studies.
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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 | 0.068 | 0.302 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".