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The 2011 <scp>P</scp>rogram <scp>E</scp>valuation <scp>S</scp>tandards: a framework for quality in medical education programme evaluations

2012· article· en· W1904031896 on OpenAlexaffabout
Valerie Ruhe, J. Donald Boudreau

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2012
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsMcGill UniversityCentre for Advancing Health Outcomes
Fundersnot available
KeywordsValuation (finance)AccountabilityQuality (philosophy)Computer scienceBusinessPolitical scienceAccounting

Abstract

fetched live from OpenAlex

RATIONALE, AIMS AND OBJECTIVES: Based on input from 400 stakeholders over 6 years, the 2011 Program Evaluation Standards represents an in-depth analysis of values, meaning and measurement and their relationships in programme evaluation. Evaluation quality is achieved by balancing five attributes: utility, feasibility, propriety, accuracy and evaluation accountability. These attributes are used to organize 30 standards, 200 strategies and 197 hazards. METHOD: In response to a call from the authors of the standards, we have used them to guide our meta-evaluation of McGill's undergraduate physicianship programme. RESULTS: Our findings show how the standards illuminate the tensions, dilemmas and hazards inherent in all stages of programme evaluation studies and offer helpful strategies for designing and conducting high-quality evaluation studies. CONCLUSIONS: Based on our experience, the third edition needs to be used as a reference document in all stages of evaluations of medical education programmes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.467
metaresearch head score (Gemma)0.542
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.533
Threshold uncertainty score0.657

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4670.542
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.009
Bibliometrics0.0210.015
Science and technology studies0.0040.013
Scholarly communication0.0160.011
Open science0.0050.011
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.412
GPT teacher head0.658
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainEvaluation
GenreMethods

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".

Quick stats

Citations25
Published2012
Admission routes2
Has abstractyes

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