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Record W1603891633

The Validity/Reliability of Occupational Performance Measurement: A Synthesis of Research Using the Validity Generalization Method

2008· article· en· W1603891633 on OpenAlex
Moses N. Ikiugu, Lynne M. Anderson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCommonKnowledge Research Repository (Pacific University Oregon) · 2008
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsReliability (semiconductor)GeneralizationValidityReliability engineeringPredictive validityExternal validityComputer sciencePsychologyMathematicsStatisticsEngineeringSocial psychologyPsychometricsMathematical analysis
DOInot available

Abstract

fetched live from OpenAlex

In this study, we used the Validity Generalization method (Hunter & Schmidt, 2004; Schmidt & Hunter, 1977) to synthesize findings from 18 studies investigating the validity/reliability of a variety of occupational performance assessments. Our objectives were to determine: 1) an overall estimate of the validity/reliability of occupational performance measurement scores; and 2) generalizability of the validity/reliability from research to clinical settings after correction for some attenuating statistical artifacts. To achieve the above two objectives, we computed weighted mean validity/reliability coefficients of studies validating a variety of occupational performance measurement instruments; determined the attenuation of variability of the validity/reliability coefficients by sampling and test criterion measurement reliability errors; and calculated the proportion of the variance of the validity/reliability coefficients accounted for by the attenuating factors. Our sample was comprised of 18 studies in which test-retest, inter-rater, alternate measure, and predictive reliability estimates of occupational performance scores were investigated. The instruments generating scores in the studies included: the Canadian Occupational Performance Measure (COPM); Occupational Performance History Interview (OPHI-II); Assessment of Motor and Process Skills (AMPS); Role Checklist (RC); Assessment of Living Skills and Resources (ALSAR); Australian Therapy Outcome Measures (AusTOMs); Functional Independence Measure (FIM); and Hessel Analogical Reasoning Test (HART) among others. Occupational Performance assessment scores based on self-report were found to have a higher corrected weighted mean validity/reliability coefficient than is typical for instruments in social science research. This was particularly significant in the context of the emphasis on client-centeredness in the current occupational therapy paradigm which encourages collaboration with clients in the assessment and intervention process. When observed variance was corrected for attenuation by sampling and test criterion reliability errors, less than 75% of the variance recommended by Hunter and Schmidt (2004) remained. Our findings indicated that assessment scores based on self-report instruments may be the most reliable/valid. It is not clear whether such validity/reliability can be assumed in clinical conditions that differ from research circumstances. Further meta-analysis is indicated to determine more conclusively such generalizability of validity/reliability of occupational performance assessments.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.036
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0360.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0150.003
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.506
GPT teacher head0.503
Teacher spread0.003 · 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