Validity of constructed-response situational judgment tests in training programs for the health professions: A systematic review and meta-analysis protocol
Bibliographic record
Abstract
BACKGROUND: Situational judgments tests have been increasingly used to help training programs for the health professions incorporate professionalism attributes into their admissions process. While such tests have strong psychometric properties for testing professional attributes and are feasible to implement in high-volume, high-stakes selection, little is known about constructed-response situational judgment tests and their validity. METHODS: We will conduct a systematic review of primary published or unpublished studies reporting on the association between scores on constructed-response situational judgment tests and scores on other tests that measure personal, interpersonal, or professional attributes in training programs for the health professions. In addition to searching electronic databases, we will contact academics and researchers and undertake backward and forward searching. Two reviewers will independently screen the papers and decide on their inclusion, first based on the titles and abstracts of all citations, and then according to the full texts. Data extraction will be done independently by two reviewers using a data extraction form to chart study details and key findings. Studies will be assessed for the risk of bias and quality by two reviewers using the "Quality In Prognosis Studies" tool. To synthesize evidence, we will test the statistical heterogeneity and conduct a psychometric meta-analysis using a random-effects model. If adequate data are available, we will explore whether the meta-analytic correlation varies across different subgroups (e.g., race, gender). DISCUSSION: The findings of this study will inform best practices for admission and selection of applicants for training programs for the health professions and encourage further research on constructed-response situational judgment tests, in particular their validity. TRIAL REGISTRATION: The protocol for this systematic review has been registered in PROSPERO [CRD42022314561]. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022314561.
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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 | 0.122 | 0.181 |
| Meta-epidemiology (narrow) | 0.007 | 0.006 |
| Meta-epidemiology (broad) | 0.027 | 0.035 |
| Bibliometrics | 0.022 | 0.016 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.043 | 0.005 |
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".