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Record W71341108 · doi:10.3233/wor-2001-00138

Reliability of the Demand-Control Questionnaire for sewing machine operators

2001· article· en· W71341108 on OpenAlexaff
Renee Williams, Gunnevi Sundelin, Mary Lou Schmuck

Bibliographic record

VenueWork · 2001
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCronbach's alphaGeneralizability theoryReliability (semiconductor)Job controlConfidence intervalInternal consistencyRepeated measures designOccupational stressScale (ratio)Test (biology)PsychologyApplied psychologyClinical psychologyMedicineEngineeringPsychometricsWork (physics)StatisticsDevelopmental psychologyMathematicsPower (physics)

Abstract

fetched live from OpenAlex

The Demand-Control Questionnaire (DCQ), a 20-item scale that measures psychological work demands, job control and workplace social support, has frequently been used to assess occupational stress. The purpose of this study was to determine the test-retest reliability and internal consistency of the DCQ with sewing machine operators. Forty-six sewing machine operators completed the DCQ on two occasions with an 11-week time interval. A repeated measures analysis of variance model and subsequent application of generalizability theory were used to calculate the test-retest reliability of the subjects' ratings on the DCQ. Cronbach's alpha was used to determine the internal consistency of the scale. The test-retest reliability was 0.33 (95% confidence interval = 0.05-0.61), indicating fair reliability. Good internal consistency (Cronbach's alpha = 0.70) was found. The DCQ appears to be a reliable measure for assessing occupational stress in sewing machine operators. Workplaces need to place greater emphasis on the role of occupational stress in the prevention and treatment of musculoskeletal injuries among sewing machine operators.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.428
Teacher spread0.389 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations10
Published2001
Admission routes1
Has abstractyes

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