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Record W4377141999 · doi:10.56645/jmde.v19i43.825

The Program Evaluation Standards in Evaluation Scholarship and Practice

2023· article· en· W4377141999 on OpenAlexaboutno aff
Brad R. Watts, Ryan Castillo, John Akwetey, Dung Pham

Bibliographic record

VenueJournal of MultiDisciplinary Evaluation · 2023
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipMedical educationSystematic reviewResource (disambiguation)Professional associationPolitical sciencePsychologyMedicineSociologyPublic relationsMEDLINEComputer science

Abstract

fetched live from OpenAlex

Background: The Program Evaluation Standards that were developed and approved by the Joint Committee on Standards for Educational Evaluation have served as a resource to the broader evaluation field for over four decades. However, little evidence has been collected regarding the extent to which the standards have influenced the field through scholarship or professional practice. Purpose: This study seeks to estimate the prevalence of the Program Evaluation Standards in evaluation scholarship and professional practice. Setting: Not applicable. Intervention: Not applicable. Research Design: The study combines a systematic review of evaluation literature with a survey of American Evaluation Association (AEA) and Canadian Evaluation Society (CES) members. Data Collection and Analysis: A systematic review of articles published in 14 evaluation-specific journals from 2010 to 2020 was conducted to identify and typify articles citing the standards. Additionally, AEA and CES members were surveyed, with a focus on knowledge and use of the standards. Descriptive analyses are presented to quantify the prevalence of the standards in evaluation scholarship and practice, respectively. Findings: The systematic review revealed that 4.48% of the 4,460 articles published in 14 evaluation-specific journals from 2010 to 2020 contained some use of the standards. Survey results show that 53.14% of AEA members and 67.12% of CES members are familiar with the standards and that, among those with knowledge of the standards, most AEA (67.67%) and CES (71.74%) members use them at least “occasionally” in their professional work, education, and scholarship activities.

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)0.435
metaresearch head score (Gemma)0.584
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.565
Threshold uncertainty score0.697

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4350.584
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0130.013
Science and technology studies0.0050.027
Scholarly communication0.0140.012
Open science0.0030.012
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0020.001

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 head0.423
GPT teacher head0.637
Teacher spread0.214 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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