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Related Concept Videos

Self-Report Tests of Personality01:22

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The Manual Work Instability Scale: development and validation.

G Gilworth1, M G Smyth2, J Smith2

  • 1Department of Rehabilitation Medicine, Faculty of Medicine and Health, The University of Leeds, D Floor, Martin Wing, The General Infirmary at Leeds, Gt. George Street, Leeds, West Yorkshire LS1 3EX, UK.

Occupational Medicine (Oxford, England)
|January 10, 2016
PubMed
Summary
This summary is machine-generated.

A new screening tool, the Manual Work Instability Scale, effectively identifies work instability (WI) in manual laborers. This psychometrically sound questionnaire assesses physical and psychosocial factors contributing to job performance issues.

Keywords:
Manual workersRasch analysisscreening questionnairework instability.

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Area of Science:

  • Occupational Health
  • Psychometrics
  • Workplace Safety

Background:

  • Work instability (WI) is a growing concern, impacting employee performance and increasing absenteeism.
  • Early identification of WI is crucial for mitigating its negative effects on individuals and organizations.

Purpose of the Study:

  • To develop and validate a screening questionnaire for measuring work instability.
  • The target population for this tool is manual workers.

Main Methods:

  • Qualitative interviews with manual workers informed item generation.
  • Rasch analysis was employed to refine the questionnaire and assess psychometric properties.
  • The draft survey was administered to a diverse group of manual workers.

Main Results:

  • 110 potential items were generated from 17 interviews.
  • The final scale comprises 25 items, demonstrating good reliability (alpha = 0.86) and unidimensionality.
  • The scale met psychometric expectations with favorable item and person residual statistics.

Conclusions:

  • The Manual Work Instability Scale is a validated, psychometrically robust tool for assessing WI.
  • The scale integrates musculoskeletal and psychosocial factors relevant to manual occupations.
  • It shows potential for effectively screening and identifying work instability in physically demanding jobs.