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Record W3036747120 · doi:10.1111/medu.14281

Useful to whom? Evaluation utilisation theory and boundaries for programme evaluation scope

2020· review· en· W3036747120 on OpenAlexaff
Betty Onyura

Bibliographic record

VenueMedical Education · 2020
Typereview
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsCentre for Global Health ResearchUniversity of Toronto
Fundersnot available
KeywordsScope (computer science)StakeholderTheory of changeContext (archaeology)ScholarshipProcess (computing)Engineering ethicsManagement scienceMonitoring and evaluationDiversity (politics)Program evaluationParticipatory evaluationPsychologySociologyPublic relationsPolitical scienceComputer scienceSocial scienceEngineering

Abstract

fetched live from OpenAlex

CONTEXT: Programme evaluation is perpetually mandated in health professions education. Correspondingly, there has been an expansion in prescriptive methodological guides about 'how' to engage in various best practices in evaluation. However, what has gained less attention is an examination of the 'value' that different stakeholders seek to gain from programme evaluation. Evaluation utilisation theory and research can help us understand the diversity in both the driving forces for and the impact of programme evaluation. Awareness of the heterogeneity of evaluation utilisation priorities has implications for evaluation practices, including both methodological choices and understanding of the impact of programme evaluation in our field. METHODS: In this article, I expound on the concept of evaluation utilisation by drawing on evaluation theory and research. 'Evaluation utilisation' refers to the application of programme evaluation processes and findings to influence thinking and action. Herein, different forms of 'evaluation utilisation' (including instrumental, conceptual, process and persuasive (symbolic and legitimative) utilisation) are discussed, as well as the related concept of 'evaluation misuse'. Furthermore, how the prioritisation of different forms of 'evaluation utilisation' can influence the scope and impact of evaluation scholarship are also discussed. CONCLUSIONS: Programme evaluation is a form of inquiry that requires more than the exercise of robust methodological techniques. Rather, it necessitates attention to the, sometimes divergent, priorities of different stakeholder groups. Although there is scant research on evaluation practices in health professions education, evaluation utilisation theory can inform critical examination of evaluation practices and impact in our field. Critically, understanding this body of work can help inform those engaged in evaluation about what they are (or should be) prioritising when they conduct programme evaluation, and better align evaluation methodologies with their scholarly, curricular and administrative intentions. Implications for future research and high-quality, transparent evaluation scholarship are presented.

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)0.300
metaresearch head score (Gemma)0.418
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.700
Threshold uncertainty score0.863

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3000.418
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0110.008
Science and technology studies0.0080.080
Scholarly communication0.0280.045
Open science0.0050.023
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0070.001

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 head0.392
GPT teacher head0.615
Teacher spread0.222 · 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 designNot applicable
DomainEvaluation
GenreReview

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

Citations14
Published2020
Admission routes1
Has abstractyes

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